97
SPONSORS: DoT ITI, NSF fib HUNGARIAN GROUP & TU BUDAPEST, MAY 10, 2016 SIZE EFFECT IN CONCRETE STRUCTURES: FAILURES, SAFETY AND DESIGN CODES Z D E N Ě K P. B A Ž A N T MAIN COLLABORATORS: QIANG YU, M.T. KAZEMI

SIZE EFFECT IN CONCRETE STRUCTURES: FAILURES, SAFETY AND ...fib.bme.hu/2016-05-10-fib-ankent/fib_SizEff-Failures.pdf · SIZE EFFECT IN CONCRETE STRUCTURES: FAILURES, SAFETY AND DESIGN

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SPONSORS DoT ndash ITI NSF

fib HUNGARIAN GROUP amp TU BUDAPEST MAY 10 2016

SIZE EFFECT IN CONCRETE STRUCTURES

FAILURES SAFETY AND DESIGN CODES

Z D E N Ě K P B A Ž A N T

MAIN COLLABORATORS QIANG YU MT KAZEMI

Basic Facts about Quasibrittle Size Effect

a) Plasticbull No localization simultane-

ous strengths are summed

bull CoV decreases with structure size as

bull Gaussian distribution

1 D

b) Brittlebull Localizes propagates

one element controls Pmax

bull No decrease of CoV with size D high scatter

bull Weibull distribution

c) QuasibrittleFinite fracture process zone- charact length Transitional SIZE EFFECT

Small size Quasi-Plastic Large size Brittle

FAILURE TYPES

rArr

QUASIBRITTLE MATERIALSconcrete (archetypical)fiber compositesrockssea icetoughened ceramicsrigid foamswoodconsolidated snowparticle boardpaper cartoncast iron

nanocompositesmetallic thin filmsbiological shellsmdashnacremortarmasonryfiber-reinforced concretestiff clayssilts cemented sandsgrouted soilsparticle boardrefractoriesbone cartilagecoal modern tough alloyshellip

22N D

hf

σN

σN

1k

a0 ∆a

D

Energy released2

0( 2 )2N E ka aσ= ∆

2( 2 )N fE h aσ ∆

const

Energy dissipatedfG a= ∆fG D

2 0( )Na D aD

σ ∆

Intuitive Explanation ofEnergetic Size Effect (Type 2)

Geometric similarity of fractures at different size is a required hypothesis for Type 2 size effect Here is a demonstration that it holds true for beam shear failures at different sizes

Small Large

Cause of Size Effect (of Type 1) for Failure at Crack Initiation

D

Db

D

Db

M M

ft ft

σN σN

Cause of size effect(Can this be denied andreplaced by fractals)

Vanishing size effect but strength randomnessbecomes important

1

1r

bN

rDDinfin

= +

σ σ

(Alternative derivationby fracture mechanicsfor a 0)

Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching

0 or 0)( 2

2

02

2

21 =

=ΠΠ

t

N

t

N

flfDff σσ

20 tf fEGl =

21

02

2

0

2

2

0

~~ 0 If

const~ 0 If

minusrarr=

gtgt

=rarr=

ltlt

DDEGlfDflD

ff

flD

fNt

N

tNt

N

σσ

σσ

4 variables ft [Nm2] Gf [Jm2] D [m] σN [Nm2]Characteristic material length implied (Irwin 1958)

Buckingham theoremMax load given by

Expansion of f(Π1 Π2) = 0 up to 2nd

order terms yields approx size effect law21

0 )1( minus+= DDBftNσ

21

log σN

log D

Large crack at max load

Bazant PNAS 2004

Derivations of Size Effect Law1 Analyticalndash Simplified energy release analysisndash Simplified contour integration of J-

integralndash Dimensional analysis with

asymptotic matchingndash Asymptotic transformations of

diffeqs with boundary conditionsndash Asymptotic analysis of equivalent

LEFMndash Asymptotics of cohesive crack

model (smeared-tip method)ndash Asymptotic expansion of J-integralndash Deterministic limit of probabilistic

nonlocal theory

2 Numericalndash FEM with strongly nonlocal damage modelsndash FEM with gradient (weakly nonlocal) modelsndash Random Lattice Discrete Particle Modelndash Limit of nonlocal probabilistic FEM

MATERIALSConcretes rocks sea icetoughened ceramics fiber composites brittle foams wood snow (avalanches) particle board paper hellip

Asymptotic MatchingSize Effect of Divinycell H100 Foam

1

Size Effect Law(Bazant 1984)

Gf = 061 Nmmcf = 033 mm

log D (mm)

log

σ N(M

Pa-2

)

0

-1-1 10 32

Strength criterion

Large-SizeAsymptoticExpansion

21 LEFM

Small-SizeAsymptoticExpansion-12

N0

= 1tDBfD

σ prime +

f

0 f 0

E G=g (α )c +g(α )D

Easy EasyHard

( ) 1 1

0

rN rk minus+= ϑσσ

Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization

2c ndash based on cohesive crack model 1s ndash statistical generalization

log (Size D)

Type 2

log

( Nom

Stre

ngth

σN

)

1

01

01 1 10 100

2c

2

1

21

00

1minus

+=

DDN

σσ

Type 1

1 10 100

1

01m

n

r

1

( ) rmnN rk 1

0

ϑϑσσ

+=

Statistical

1s

1cDD

D

b

b

+=ϑ

Deterministic

Deterministic with statistical CoV

1000100

Classical Narrow-Range Test Data for Size Effect on Shear Strength of RC Beams without Stirrups

Kani (1967)

ad=25

Kani (1967)

ad=30

Kani (1967)

ad=40

Kani (1967)

ad=50

Kani (1967)

ad=70

Leonhardt amp Walther (1962)

ad=30

Bahl (1968)

ad=30

1

03

1

05

1

051

3

100 1000 100 1000 100 1000

2

1

100 1000 1000

1

05100

0

0

30 MPa176 mm

vd

=

=0

0

224 MPa246 mm

vd

=

=0

0

154 MPa661 mm

vd

=

=0

0

155 MPa618 mm

vd

=

=

0

0

12 MPa133 mm

vd

=

=0

0

175 MPa386 mm

vd

=

=0

0

133 MPa388 mm

vd

=

=

log

v c(M

Pa)

log

v c(M

Pa)

log d (mm) log d (mm) log d (mm)log d (mm)

1

05100 1000

log d (mm) log d (mm)log d (mm)

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Basic Facts about Quasibrittle Size Effect

a) Plasticbull No localization simultane-

ous strengths are summed

bull CoV decreases with structure size as

bull Gaussian distribution

1 D

b) Brittlebull Localizes propagates

one element controls Pmax

bull No decrease of CoV with size D high scatter

bull Weibull distribution

c) QuasibrittleFinite fracture process zone- charact length Transitional SIZE EFFECT

Small size Quasi-Plastic Large size Brittle

FAILURE TYPES

rArr

QUASIBRITTLE MATERIALSconcrete (archetypical)fiber compositesrockssea icetoughened ceramicsrigid foamswoodconsolidated snowparticle boardpaper cartoncast iron

nanocompositesmetallic thin filmsbiological shellsmdashnacremortarmasonryfiber-reinforced concretestiff clayssilts cemented sandsgrouted soilsparticle boardrefractoriesbone cartilagecoal modern tough alloyshellip

22N D

hf

σN

σN

1k

a0 ∆a

D

Energy released2

0( 2 )2N E ka aσ= ∆

2( 2 )N fE h aσ ∆

const

Energy dissipatedfG a= ∆fG D

2 0( )Na D aD

σ ∆

Intuitive Explanation ofEnergetic Size Effect (Type 2)

Geometric similarity of fractures at different size is a required hypothesis for Type 2 size effect Here is a demonstration that it holds true for beam shear failures at different sizes

Small Large

Cause of Size Effect (of Type 1) for Failure at Crack Initiation

D

Db

D

Db

M M

ft ft

σN σN

Cause of size effect(Can this be denied andreplaced by fractals)

Vanishing size effect but strength randomnessbecomes important

1

1r

bN

rDDinfin

= +

σ σ

(Alternative derivationby fracture mechanicsfor a 0)

Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching

0 or 0)( 2

2

02

2

21 =

=ΠΠ

t

N

t

N

flfDff σσ

20 tf fEGl =

21

02

2

0

2

2

0

~~ 0 If

const~ 0 If

minusrarr=

gtgt

=rarr=

ltlt

DDEGlfDflD

ff

flD

fNt

N

tNt

N

σσ

σσ

4 variables ft [Nm2] Gf [Jm2] D [m] σN [Nm2]Characteristic material length implied (Irwin 1958)

Buckingham theoremMax load given by

Expansion of f(Π1 Π2) = 0 up to 2nd

order terms yields approx size effect law21

0 )1( minus+= DDBftNσ

21

log σN

log D

Large crack at max load

Bazant PNAS 2004

Derivations of Size Effect Law1 Analyticalndash Simplified energy release analysisndash Simplified contour integration of J-

integralndash Dimensional analysis with

asymptotic matchingndash Asymptotic transformations of

diffeqs with boundary conditionsndash Asymptotic analysis of equivalent

LEFMndash Asymptotics of cohesive crack

model (smeared-tip method)ndash Asymptotic expansion of J-integralndash Deterministic limit of probabilistic

nonlocal theory

2 Numericalndash FEM with strongly nonlocal damage modelsndash FEM with gradient (weakly nonlocal) modelsndash Random Lattice Discrete Particle Modelndash Limit of nonlocal probabilistic FEM

MATERIALSConcretes rocks sea icetoughened ceramics fiber composites brittle foams wood snow (avalanches) particle board paper hellip

Asymptotic MatchingSize Effect of Divinycell H100 Foam

1

Size Effect Law(Bazant 1984)

Gf = 061 Nmmcf = 033 mm

log D (mm)

log

σ N(M

Pa-2

)

0

-1-1 10 32

Strength criterion

Large-SizeAsymptoticExpansion

21 LEFM

Small-SizeAsymptoticExpansion-12

N0

= 1tDBfD

σ prime +

f

0 f 0

E G=g (α )c +g(α )D

Easy EasyHard

( ) 1 1

0

rN rk minus+= ϑσσ

Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization

2c ndash based on cohesive crack model 1s ndash statistical generalization

log (Size D)

Type 2

log

( Nom

Stre

ngth

σN

)

1

01

01 1 10 100

2c

2

1

21

00

1minus

+=

DDN

σσ

Type 1

1 10 100

1

01m

n

r

1

( ) rmnN rk 1

0

ϑϑσσ

+=

Statistical

1s

1cDD

D

b

b

+=ϑ

Deterministic

Deterministic with statistical CoV

1000100

Classical Narrow-Range Test Data for Size Effect on Shear Strength of RC Beams without Stirrups

Kani (1967)

ad=25

Kani (1967)

ad=30

Kani (1967)

ad=40

Kani (1967)

ad=50

Kani (1967)

ad=70

Leonhardt amp Walther (1962)

ad=30

Bahl (1968)

ad=30

1

03

1

05

1

051

3

100 1000 100 1000 100 1000

2

1

100 1000 1000

1

05100

0

0

30 MPa176 mm

vd

=

=0

0

224 MPa246 mm

vd

=

=0

0

154 MPa661 mm

vd

=

=0

0

155 MPa618 mm

vd

=

=

0

0

12 MPa133 mm

vd

=

=0

0

175 MPa386 mm

vd

=

=0

0

133 MPa388 mm

vd

=

=

log

v c(M

Pa)

log

v c(M

Pa)

log d (mm) log d (mm) log d (mm)log d (mm)

1

05100 1000

log d (mm) log d (mm)log d (mm)

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

a) Plasticbull No localization simultane-

ous strengths are summed

bull CoV decreases with structure size as

bull Gaussian distribution

1 D

b) Brittlebull Localizes propagates

one element controls Pmax

bull No decrease of CoV with size D high scatter

bull Weibull distribution

c) QuasibrittleFinite fracture process zone- charact length Transitional SIZE EFFECT

Small size Quasi-Plastic Large size Brittle

FAILURE TYPES

rArr

QUASIBRITTLE MATERIALSconcrete (archetypical)fiber compositesrockssea icetoughened ceramicsrigid foamswoodconsolidated snowparticle boardpaper cartoncast iron

nanocompositesmetallic thin filmsbiological shellsmdashnacremortarmasonryfiber-reinforced concretestiff clayssilts cemented sandsgrouted soilsparticle boardrefractoriesbone cartilagecoal modern tough alloyshellip

22N D

hf

σN

σN

1k

a0 ∆a

D

Energy released2

0( 2 )2N E ka aσ= ∆

2( 2 )N fE h aσ ∆

const

Energy dissipatedfG a= ∆fG D

2 0( )Na D aD

σ ∆

Intuitive Explanation ofEnergetic Size Effect (Type 2)

Geometric similarity of fractures at different size is a required hypothesis for Type 2 size effect Here is a demonstration that it holds true for beam shear failures at different sizes

Small Large

Cause of Size Effect (of Type 1) for Failure at Crack Initiation

D

Db

D

Db

M M

ft ft

σN σN

Cause of size effect(Can this be denied andreplaced by fractals)

Vanishing size effect but strength randomnessbecomes important

1

1r

bN

rDDinfin

= +

σ σ

(Alternative derivationby fracture mechanicsfor a 0)

Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching

0 or 0)( 2

2

02

2

21 =

=ΠΠ

t

N

t

N

flfDff σσ

20 tf fEGl =

21

02

2

0

2

2

0

~~ 0 If

const~ 0 If

minusrarr=

gtgt

=rarr=

ltlt

DDEGlfDflD

ff

flD

fNt

N

tNt

N

σσ

σσ

4 variables ft [Nm2] Gf [Jm2] D [m] σN [Nm2]Characteristic material length implied (Irwin 1958)

Buckingham theoremMax load given by

Expansion of f(Π1 Π2) = 0 up to 2nd

order terms yields approx size effect law21

0 )1( minus+= DDBftNσ

21

log σN

log D

Large crack at max load

Bazant PNAS 2004

Derivations of Size Effect Law1 Analyticalndash Simplified energy release analysisndash Simplified contour integration of J-

integralndash Dimensional analysis with

asymptotic matchingndash Asymptotic transformations of

diffeqs with boundary conditionsndash Asymptotic analysis of equivalent

LEFMndash Asymptotics of cohesive crack

model (smeared-tip method)ndash Asymptotic expansion of J-integralndash Deterministic limit of probabilistic

nonlocal theory

2 Numericalndash FEM with strongly nonlocal damage modelsndash FEM with gradient (weakly nonlocal) modelsndash Random Lattice Discrete Particle Modelndash Limit of nonlocal probabilistic FEM

MATERIALSConcretes rocks sea icetoughened ceramics fiber composites brittle foams wood snow (avalanches) particle board paper hellip

Asymptotic MatchingSize Effect of Divinycell H100 Foam

1

Size Effect Law(Bazant 1984)

Gf = 061 Nmmcf = 033 mm

log D (mm)

log

σ N(M

Pa-2

)

0

-1-1 10 32

Strength criterion

Large-SizeAsymptoticExpansion

21 LEFM

Small-SizeAsymptoticExpansion-12

N0

= 1tDBfD

σ prime +

f

0 f 0

E G=g (α )c +g(α )D

Easy EasyHard

( ) 1 1

0

rN rk minus+= ϑσσ

Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization

2c ndash based on cohesive crack model 1s ndash statistical generalization

log (Size D)

Type 2

log

( Nom

Stre

ngth

σN

)

1

01

01 1 10 100

2c

2

1

21

00

1minus

+=

DDN

σσ

Type 1

1 10 100

1

01m

n

r

1

( ) rmnN rk 1

0

ϑϑσσ

+=

Statistical

1s

1cDD

D

b

b

+=ϑ

Deterministic

Deterministic with statistical CoV

1000100

Classical Narrow-Range Test Data for Size Effect on Shear Strength of RC Beams without Stirrups

Kani (1967)

ad=25

Kani (1967)

ad=30

Kani (1967)

ad=40

Kani (1967)

ad=50

Kani (1967)

ad=70

Leonhardt amp Walther (1962)

ad=30

Bahl (1968)

ad=30

1

03

1

05

1

051

3

100 1000 100 1000 100 1000

2

1

100 1000 1000

1

05100

0

0

30 MPa176 mm

vd

=

=0

0

224 MPa246 mm

vd

=

=0

0

154 MPa661 mm

vd

=

=0

0

155 MPa618 mm

vd

=

=

0

0

12 MPa133 mm

vd

=

=0

0

175 MPa386 mm

vd

=

=0

0

133 MPa388 mm

vd

=

=

log

v c(M

Pa)

log

v c(M

Pa)

log d (mm) log d (mm) log d (mm)log d (mm)

1

05100 1000

log d (mm) log d (mm)log d (mm)

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

QUASIBRITTLE MATERIALSconcrete (archetypical)fiber compositesrockssea icetoughened ceramicsrigid foamswoodconsolidated snowparticle boardpaper cartoncast iron

nanocompositesmetallic thin filmsbiological shellsmdashnacremortarmasonryfiber-reinforced concretestiff clayssilts cemented sandsgrouted soilsparticle boardrefractoriesbone cartilagecoal modern tough alloyshellip

22N D

hf

σN

σN

1k

a0 ∆a

D

Energy released2

0( 2 )2N E ka aσ= ∆

2( 2 )N fE h aσ ∆

const

Energy dissipatedfG a= ∆fG D

2 0( )Na D aD

σ ∆

Intuitive Explanation ofEnergetic Size Effect (Type 2)

Geometric similarity of fractures at different size is a required hypothesis for Type 2 size effect Here is a demonstration that it holds true for beam shear failures at different sizes

Small Large

Cause of Size Effect (of Type 1) for Failure at Crack Initiation

D

Db

D

Db

M M

ft ft

σN σN

Cause of size effect(Can this be denied andreplaced by fractals)

Vanishing size effect but strength randomnessbecomes important

1

1r

bN

rDDinfin

= +

σ σ

(Alternative derivationby fracture mechanicsfor a 0)

Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching

0 or 0)( 2

2

02

2

21 =

=ΠΠ

t

N

t

N

flfDff σσ

20 tf fEGl =

21

02

2

0

2

2

0

~~ 0 If

const~ 0 If

minusrarr=

gtgt

=rarr=

ltlt

DDEGlfDflD

ff

flD

fNt

N

tNt

N

σσ

σσ

4 variables ft [Nm2] Gf [Jm2] D [m] σN [Nm2]Characteristic material length implied (Irwin 1958)

Buckingham theoremMax load given by

Expansion of f(Π1 Π2) = 0 up to 2nd

order terms yields approx size effect law21

0 )1( minus+= DDBftNσ

21

log σN

log D

Large crack at max load

Bazant PNAS 2004

Derivations of Size Effect Law1 Analyticalndash Simplified energy release analysisndash Simplified contour integration of J-

integralndash Dimensional analysis with

asymptotic matchingndash Asymptotic transformations of

diffeqs with boundary conditionsndash Asymptotic analysis of equivalent

LEFMndash Asymptotics of cohesive crack

model (smeared-tip method)ndash Asymptotic expansion of J-integralndash Deterministic limit of probabilistic

nonlocal theory

2 Numericalndash FEM with strongly nonlocal damage modelsndash FEM with gradient (weakly nonlocal) modelsndash Random Lattice Discrete Particle Modelndash Limit of nonlocal probabilistic FEM

MATERIALSConcretes rocks sea icetoughened ceramics fiber composites brittle foams wood snow (avalanches) particle board paper hellip

Asymptotic MatchingSize Effect of Divinycell H100 Foam

1

Size Effect Law(Bazant 1984)

Gf = 061 Nmmcf = 033 mm

log D (mm)

log

σ N(M

Pa-2

)

0

-1-1 10 32

Strength criterion

Large-SizeAsymptoticExpansion

21 LEFM

Small-SizeAsymptoticExpansion-12

N0

= 1tDBfD

σ prime +

f

0 f 0

E G=g (α )c +g(α )D

Easy EasyHard

( ) 1 1

0

rN rk minus+= ϑσσ

Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization

2c ndash based on cohesive crack model 1s ndash statistical generalization

log (Size D)

Type 2

log

( Nom

Stre

ngth

σN

)

1

01

01 1 10 100

2c

2

1

21

00

1minus

+=

DDN

σσ

Type 1

1 10 100

1

01m

n

r

1

( ) rmnN rk 1

0

ϑϑσσ

+=

Statistical

1s

1cDD

D

b

b

+=ϑ

Deterministic

Deterministic with statistical CoV

1000100

Classical Narrow-Range Test Data for Size Effect on Shear Strength of RC Beams without Stirrups

Kani (1967)

ad=25

Kani (1967)

ad=30

Kani (1967)

ad=40

Kani (1967)

ad=50

Kani (1967)

ad=70

Leonhardt amp Walther (1962)

ad=30

Bahl (1968)

ad=30

1

03

1

05

1

051

3

100 1000 100 1000 100 1000

2

1

100 1000 1000

1

05100

0

0

30 MPa176 mm

vd

=

=0

0

224 MPa246 mm

vd

=

=0

0

154 MPa661 mm

vd

=

=0

0

155 MPa618 mm

vd

=

=

0

0

12 MPa133 mm

vd

=

=0

0

175 MPa386 mm

vd

=

=0

0

133 MPa388 mm

vd

=

=

log

v c(M

Pa)

log

v c(M

Pa)

log d (mm) log d (mm) log d (mm)log d (mm)

1

05100 1000

log d (mm) log d (mm)log d (mm)

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

22N D

hf

σN

σN

1k

a0 ∆a

D

Energy released2

0( 2 )2N E ka aσ= ∆

2( 2 )N fE h aσ ∆

const

Energy dissipatedfG a= ∆fG D

2 0( )Na D aD

σ ∆

Intuitive Explanation ofEnergetic Size Effect (Type 2)

Geometric similarity of fractures at different size is a required hypothesis for Type 2 size effect Here is a demonstration that it holds true for beam shear failures at different sizes

Small Large

Cause of Size Effect (of Type 1) for Failure at Crack Initiation

D

Db

D

Db

M M

ft ft

σN σN

Cause of size effect(Can this be denied andreplaced by fractals)

Vanishing size effect but strength randomnessbecomes important

1

1r

bN

rDDinfin

= +

σ σ

(Alternative derivationby fracture mechanicsfor a 0)

Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching

0 or 0)( 2

2

02

2

21 =

=ΠΠ

t

N

t

N

flfDff σσ

20 tf fEGl =

21

02

2

0

2

2

0

~~ 0 If

const~ 0 If

minusrarr=

gtgt

=rarr=

ltlt

DDEGlfDflD

ff

flD

fNt

N

tNt

N

σσ

σσ

4 variables ft [Nm2] Gf [Jm2] D [m] σN [Nm2]Characteristic material length implied (Irwin 1958)

Buckingham theoremMax load given by

Expansion of f(Π1 Π2) = 0 up to 2nd

order terms yields approx size effect law21

0 )1( minus+= DDBftNσ

21

log σN

log D

Large crack at max load

Bazant PNAS 2004

Derivations of Size Effect Law1 Analyticalndash Simplified energy release analysisndash Simplified contour integration of J-

integralndash Dimensional analysis with

asymptotic matchingndash Asymptotic transformations of

diffeqs with boundary conditionsndash Asymptotic analysis of equivalent

LEFMndash Asymptotics of cohesive crack

model (smeared-tip method)ndash Asymptotic expansion of J-integralndash Deterministic limit of probabilistic

nonlocal theory

2 Numericalndash FEM with strongly nonlocal damage modelsndash FEM with gradient (weakly nonlocal) modelsndash Random Lattice Discrete Particle Modelndash Limit of nonlocal probabilistic FEM

MATERIALSConcretes rocks sea icetoughened ceramics fiber composites brittle foams wood snow (avalanches) particle board paper hellip

Asymptotic MatchingSize Effect of Divinycell H100 Foam

1

Size Effect Law(Bazant 1984)

Gf = 061 Nmmcf = 033 mm

log D (mm)

log

σ N(M

Pa-2

)

0

-1-1 10 32

Strength criterion

Large-SizeAsymptoticExpansion

21 LEFM

Small-SizeAsymptoticExpansion-12

N0

= 1tDBfD

σ prime +

f

0 f 0

E G=g (α )c +g(α )D

Easy EasyHard

( ) 1 1

0

rN rk minus+= ϑσσ

Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization

2c ndash based on cohesive crack model 1s ndash statistical generalization

log (Size D)

Type 2

log

( Nom

Stre

ngth

σN

)

1

01

01 1 10 100

2c

2

1

21

00

1minus

+=

DDN

σσ

Type 1

1 10 100

1

01m

n

r

1

( ) rmnN rk 1

0

ϑϑσσ

+=

Statistical

1s

1cDD

D

b

b

+=ϑ

Deterministic

Deterministic with statistical CoV

1000100

Classical Narrow-Range Test Data for Size Effect on Shear Strength of RC Beams without Stirrups

Kani (1967)

ad=25

Kani (1967)

ad=30

Kani (1967)

ad=40

Kani (1967)

ad=50

Kani (1967)

ad=70

Leonhardt amp Walther (1962)

ad=30

Bahl (1968)

ad=30

1

03

1

05

1

051

3

100 1000 100 1000 100 1000

2

1

100 1000 1000

1

05100

0

0

30 MPa176 mm

vd

=

=0

0

224 MPa246 mm

vd

=

=0

0

154 MPa661 mm

vd

=

=0

0

155 MPa618 mm

vd

=

=

0

0

12 MPa133 mm

vd

=

=0

0

175 MPa386 mm

vd

=

=0

0

133 MPa388 mm

vd

=

=

log

v c(M

Pa)

log

v c(M

Pa)

log d (mm) log d (mm) log d (mm)log d (mm)

1

05100 1000

log d (mm) log d (mm)log d (mm)

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Geometric similarity of fractures at different size is a required hypothesis for Type 2 size effect Here is a demonstration that it holds true for beam shear failures at different sizes

Small Large

Cause of Size Effect (of Type 1) for Failure at Crack Initiation

D

Db

D

Db

M M

ft ft

σN σN

Cause of size effect(Can this be denied andreplaced by fractals)

Vanishing size effect but strength randomnessbecomes important

1

1r

bN

rDDinfin

= +

σ σ

(Alternative derivationby fracture mechanicsfor a 0)

Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching

0 or 0)( 2

2

02

2

21 =

=ΠΠ

t

N

t

N

flfDff σσ

20 tf fEGl =

21

02

2

0

2

2

0

~~ 0 If

const~ 0 If

minusrarr=

gtgt

=rarr=

ltlt

DDEGlfDflD

ff

flD

fNt

N

tNt

N

σσ

σσ

4 variables ft [Nm2] Gf [Jm2] D [m] σN [Nm2]Characteristic material length implied (Irwin 1958)

Buckingham theoremMax load given by

Expansion of f(Π1 Π2) = 0 up to 2nd

order terms yields approx size effect law21

0 )1( minus+= DDBftNσ

21

log σN

log D

Large crack at max load

Bazant PNAS 2004

Derivations of Size Effect Law1 Analyticalndash Simplified energy release analysisndash Simplified contour integration of J-

integralndash Dimensional analysis with

asymptotic matchingndash Asymptotic transformations of

diffeqs with boundary conditionsndash Asymptotic analysis of equivalent

LEFMndash Asymptotics of cohesive crack

model (smeared-tip method)ndash Asymptotic expansion of J-integralndash Deterministic limit of probabilistic

nonlocal theory

2 Numericalndash FEM with strongly nonlocal damage modelsndash FEM with gradient (weakly nonlocal) modelsndash Random Lattice Discrete Particle Modelndash Limit of nonlocal probabilistic FEM

MATERIALSConcretes rocks sea icetoughened ceramics fiber composites brittle foams wood snow (avalanches) particle board paper hellip

Asymptotic MatchingSize Effect of Divinycell H100 Foam

1

Size Effect Law(Bazant 1984)

Gf = 061 Nmmcf = 033 mm

log D (mm)

log

σ N(M

Pa-2

)

0

-1-1 10 32

Strength criterion

Large-SizeAsymptoticExpansion

21 LEFM

Small-SizeAsymptoticExpansion-12

N0

= 1tDBfD

σ prime +

f

0 f 0

E G=g (α )c +g(α )D

Easy EasyHard

( ) 1 1

0

rN rk minus+= ϑσσ

Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization

2c ndash based on cohesive crack model 1s ndash statistical generalization

log (Size D)

Type 2

log

( Nom

Stre

ngth

σN

)

1

01

01 1 10 100

2c

2

1

21

00

1minus

+=

DDN

σσ

Type 1

1 10 100

1

01m

n

r

1

( ) rmnN rk 1

0

ϑϑσσ

+=

Statistical

1s

1cDD

D

b

b

+=ϑ

Deterministic

Deterministic with statistical CoV

1000100

Classical Narrow-Range Test Data for Size Effect on Shear Strength of RC Beams without Stirrups

Kani (1967)

ad=25

Kani (1967)

ad=30

Kani (1967)

ad=40

Kani (1967)

ad=50

Kani (1967)

ad=70

Leonhardt amp Walther (1962)

ad=30

Bahl (1968)

ad=30

1

03

1

05

1

051

3

100 1000 100 1000 100 1000

2

1

100 1000 1000

1

05100

0

0

30 MPa176 mm

vd

=

=0

0

224 MPa246 mm

vd

=

=0

0

154 MPa661 mm

vd

=

=0

0

155 MPa618 mm

vd

=

=

0

0

12 MPa133 mm

vd

=

=0

0

175 MPa386 mm

vd

=

=0

0

133 MPa388 mm

vd

=

=

log

v c(M

Pa)

log

v c(M

Pa)

log d (mm) log d (mm) log d (mm)log d (mm)

1

05100 1000

log d (mm) log d (mm)log d (mm)

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Small Large

Cause of Size Effect (of Type 1) for Failure at Crack Initiation

D

Db

D

Db

M M

ft ft

σN σN

Cause of size effect(Can this be denied andreplaced by fractals)

Vanishing size effect but strength randomnessbecomes important

1

1r

bN

rDDinfin

= +

σ σ

(Alternative derivationby fracture mechanicsfor a 0)

Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching

0 or 0)( 2

2

02

2

21 =

=ΠΠ

t

N

t

N

flfDff σσ

20 tf fEGl =

21

02

2

0

2

2

0

~~ 0 If

const~ 0 If

minusrarr=

gtgt

=rarr=

ltlt

DDEGlfDflD

ff

flD

fNt

N

tNt

N

σσ

σσ

4 variables ft [Nm2] Gf [Jm2] D [m] σN [Nm2]Characteristic material length implied (Irwin 1958)

Buckingham theoremMax load given by

Expansion of f(Π1 Π2) = 0 up to 2nd

order terms yields approx size effect law21

0 )1( minus+= DDBftNσ

21

log σN

log D

Large crack at max load

Bazant PNAS 2004

Derivations of Size Effect Law1 Analyticalndash Simplified energy release analysisndash Simplified contour integration of J-

integralndash Dimensional analysis with

asymptotic matchingndash Asymptotic transformations of

diffeqs with boundary conditionsndash Asymptotic analysis of equivalent

LEFMndash Asymptotics of cohesive crack

model (smeared-tip method)ndash Asymptotic expansion of J-integralndash Deterministic limit of probabilistic

nonlocal theory

2 Numericalndash FEM with strongly nonlocal damage modelsndash FEM with gradient (weakly nonlocal) modelsndash Random Lattice Discrete Particle Modelndash Limit of nonlocal probabilistic FEM

MATERIALSConcretes rocks sea icetoughened ceramics fiber composites brittle foams wood snow (avalanches) particle board paper hellip

Asymptotic MatchingSize Effect of Divinycell H100 Foam

1

Size Effect Law(Bazant 1984)

Gf = 061 Nmmcf = 033 mm

log D (mm)

log

σ N(M

Pa-2

)

0

-1-1 10 32

Strength criterion

Large-SizeAsymptoticExpansion

21 LEFM

Small-SizeAsymptoticExpansion-12

N0

= 1tDBfD

σ prime +

f

0 f 0

E G=g (α )c +g(α )D

Easy EasyHard

( ) 1 1

0

rN rk minus+= ϑσσ

Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization

2c ndash based on cohesive crack model 1s ndash statistical generalization

log (Size D)

Type 2

log

( Nom

Stre

ngth

σN

)

1

01

01 1 10 100

2c

2

1

21

00

1minus

+=

DDN

σσ

Type 1

1 10 100

1

01m

n

r

1

( ) rmnN rk 1

0

ϑϑσσ

+=

Statistical

1s

1cDD

D

b

b

+=ϑ

Deterministic

Deterministic with statistical CoV

1000100

Classical Narrow-Range Test Data for Size Effect on Shear Strength of RC Beams without Stirrups

Kani (1967)

ad=25

Kani (1967)

ad=30

Kani (1967)

ad=40

Kani (1967)

ad=50

Kani (1967)

ad=70

Leonhardt amp Walther (1962)

ad=30

Bahl (1968)

ad=30

1

03

1

05

1

051

3

100 1000 100 1000 100 1000

2

1

100 1000 1000

1

05100

0

0

30 MPa176 mm

vd

=

=0

0

224 MPa246 mm

vd

=

=0

0

154 MPa661 mm

vd

=

=0

0

155 MPa618 mm

vd

=

=

0

0

12 MPa133 mm

vd

=

=0

0

175 MPa386 mm

vd

=

=0

0

133 MPa388 mm

vd

=

=

log

v c(M

Pa)

log

v c(M

Pa)

log d (mm) log d (mm) log d (mm)log d (mm)

1

05100 1000

log d (mm) log d (mm)log d (mm)

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching

0 or 0)( 2

2

02

2

21 =

=ΠΠ

t

N

t

N

flfDff σσ

20 tf fEGl =

21

02

2

0

2

2

0

~~ 0 If

const~ 0 If

minusrarr=

gtgt

=rarr=

ltlt

DDEGlfDflD

ff

flD

fNt

N

tNt

N

σσ

σσ

4 variables ft [Nm2] Gf [Jm2] D [m] σN [Nm2]Characteristic material length implied (Irwin 1958)

Buckingham theoremMax load given by

Expansion of f(Π1 Π2) = 0 up to 2nd

order terms yields approx size effect law21

0 )1( minus+= DDBftNσ

21

log σN

log D

Large crack at max load

Bazant PNAS 2004

Derivations of Size Effect Law1 Analyticalndash Simplified energy release analysisndash Simplified contour integration of J-

integralndash Dimensional analysis with

asymptotic matchingndash Asymptotic transformations of

diffeqs with boundary conditionsndash Asymptotic analysis of equivalent

LEFMndash Asymptotics of cohesive crack

model (smeared-tip method)ndash Asymptotic expansion of J-integralndash Deterministic limit of probabilistic

nonlocal theory

2 Numericalndash FEM with strongly nonlocal damage modelsndash FEM with gradient (weakly nonlocal) modelsndash Random Lattice Discrete Particle Modelndash Limit of nonlocal probabilistic FEM

MATERIALSConcretes rocks sea icetoughened ceramics fiber composites brittle foams wood snow (avalanches) particle board paper hellip

Asymptotic MatchingSize Effect of Divinycell H100 Foam

1

Size Effect Law(Bazant 1984)

Gf = 061 Nmmcf = 033 mm

log D (mm)

log

σ N(M

Pa-2

)

0

-1-1 10 32

Strength criterion

Large-SizeAsymptoticExpansion

21 LEFM

Small-SizeAsymptoticExpansion-12

N0

= 1tDBfD

σ prime +

f

0 f 0

E G=g (α )c +g(α )D

Easy EasyHard

( ) 1 1

0

rN rk minus+= ϑσσ

Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization

2c ndash based on cohesive crack model 1s ndash statistical generalization

log (Size D)

Type 2

log

( Nom

Stre

ngth

σN

)

1

01

01 1 10 100

2c

2

1

21

00

1minus

+=

DDN

σσ

Type 1

1 10 100

1

01m

n

r

1

( ) rmnN rk 1

0

ϑϑσσ

+=

Statistical

1s

1cDD

D

b

b

+=ϑ

Deterministic

Deterministic with statistical CoV

1000100

Classical Narrow-Range Test Data for Size Effect on Shear Strength of RC Beams without Stirrups

Kani (1967)

ad=25

Kani (1967)

ad=30

Kani (1967)

ad=40

Kani (1967)

ad=50

Kani (1967)

ad=70

Leonhardt amp Walther (1962)

ad=30

Bahl (1968)

ad=30

1

03

1

05

1

051

3

100 1000 100 1000 100 1000

2

1

100 1000 1000

1

05100

0

0

30 MPa176 mm

vd

=

=0

0

224 MPa246 mm

vd

=

=0

0

154 MPa661 mm

vd

=

=0

0

155 MPa618 mm

vd

=

=

0

0

12 MPa133 mm

vd

=

=0

0

175 MPa386 mm

vd

=

=0

0

133 MPa388 mm

vd

=

=

log

v c(M

Pa)

log

v c(M

Pa)

log d (mm) log d (mm) log d (mm)log d (mm)

1

05100 1000

log d (mm) log d (mm)log d (mm)

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Derivations of Size Effect Law1 Analyticalndash Simplified energy release analysisndash Simplified contour integration of J-

integralndash Dimensional analysis with

asymptotic matchingndash Asymptotic transformations of

diffeqs with boundary conditionsndash Asymptotic analysis of equivalent

LEFMndash Asymptotics of cohesive crack

model (smeared-tip method)ndash Asymptotic expansion of J-integralndash Deterministic limit of probabilistic

nonlocal theory

2 Numericalndash FEM with strongly nonlocal damage modelsndash FEM with gradient (weakly nonlocal) modelsndash Random Lattice Discrete Particle Modelndash Limit of nonlocal probabilistic FEM

MATERIALSConcretes rocks sea icetoughened ceramics fiber composites brittle foams wood snow (avalanches) particle board paper hellip

Asymptotic MatchingSize Effect of Divinycell H100 Foam

1

Size Effect Law(Bazant 1984)

Gf = 061 Nmmcf = 033 mm

log D (mm)

log

σ N(M

Pa-2

)

0

-1-1 10 32

Strength criterion

Large-SizeAsymptoticExpansion

21 LEFM

Small-SizeAsymptoticExpansion-12

N0

= 1tDBfD

σ prime +

f

0 f 0

E G=g (α )c +g(α )D

Easy EasyHard

( ) 1 1

0

rN rk minus+= ϑσσ

Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization

2c ndash based on cohesive crack model 1s ndash statistical generalization

log (Size D)

Type 2

log

( Nom

Stre

ngth

σN

)

1

01

01 1 10 100

2c

2

1

21

00

1minus

+=

DDN

σσ

Type 1

1 10 100

1

01m

n

r

1

( ) rmnN rk 1

0

ϑϑσσ

+=

Statistical

1s

1cDD

D

b

b

+=ϑ

Deterministic

Deterministic with statistical CoV

1000100

Classical Narrow-Range Test Data for Size Effect on Shear Strength of RC Beams without Stirrups

Kani (1967)

ad=25

Kani (1967)

ad=30

Kani (1967)

ad=40

Kani (1967)

ad=50

Kani (1967)

ad=70

Leonhardt amp Walther (1962)

ad=30

Bahl (1968)

ad=30

1

03

1

05

1

051

3

100 1000 100 1000 100 1000

2

1

100 1000 1000

1

05100

0

0

30 MPa176 mm

vd

=

=0

0

224 MPa246 mm

vd

=

=0

0

154 MPa661 mm

vd

=

=0

0

155 MPa618 mm

vd

=

=

0

0

12 MPa133 mm

vd

=

=0

0

175 MPa386 mm

vd

=

=0

0

133 MPa388 mm

vd

=

=

log

v c(M

Pa)

log

v c(M

Pa)

log d (mm) log d (mm) log d (mm)log d (mm)

1

05100 1000

log d (mm) log d (mm)log d (mm)

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Asymptotic MatchingSize Effect of Divinycell H100 Foam

1

Size Effect Law(Bazant 1984)

Gf = 061 Nmmcf = 033 mm

log D (mm)

log

σ N(M

Pa-2

)

0

-1-1 10 32

Strength criterion

Large-SizeAsymptoticExpansion

21 LEFM

Small-SizeAsymptoticExpansion-12

N0

= 1tDBfD

σ prime +

f

0 f 0

E G=g (α )c +g(α )D

Easy EasyHard

( ) 1 1

0

rN rk minus+= ϑσσ

Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization

2c ndash based on cohesive crack model 1s ndash statistical generalization

log (Size D)

Type 2

log

( Nom

Stre

ngth

σN

)

1

01

01 1 10 100

2c

2

1

21

00

1minus

+=

DDN

σσ

Type 1

1 10 100

1

01m

n

r

1

( ) rmnN rk 1

0

ϑϑσσ

+=

Statistical

1s

1cDD

D

b

b

+=ϑ

Deterministic

Deterministic with statistical CoV

1000100

Classical Narrow-Range Test Data for Size Effect on Shear Strength of RC Beams without Stirrups

Kani (1967)

ad=25

Kani (1967)

ad=30

Kani (1967)

ad=40

Kani (1967)

ad=50

Kani (1967)

ad=70

Leonhardt amp Walther (1962)

ad=30

Bahl (1968)

ad=30

1

03

1

05

1

051

3

100 1000 100 1000 100 1000

2

1

100 1000 1000

1

05100

0

0

30 MPa176 mm

vd

=

=0

0

224 MPa246 mm

vd

=

=0

0

154 MPa661 mm

vd

=

=0

0

155 MPa618 mm

vd

=

=

0

0

12 MPa133 mm

vd

=

=0

0

175 MPa386 mm

vd

=

=0

0

133 MPa388 mm

vd

=

=

log

v c(M

Pa)

log

v c(M

Pa)

log d (mm) log d (mm) log d (mm)log d (mm)

1

05100 1000

log d (mm) log d (mm)log d (mm)

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

( ) 1 1

0

rN rk minus+= ϑσσ

Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization

2c ndash based on cohesive crack model 1s ndash statistical generalization

log (Size D)

Type 2

log

( Nom

Stre

ngth

σN

)

1

01

01 1 10 100

2c

2

1

21

00

1minus

+=

DDN

σσ

Type 1

1 10 100

1

01m

n

r

1

( ) rmnN rk 1

0

ϑϑσσ

+=

Statistical

1s

1cDD

D

b

b

+=ϑ

Deterministic

Deterministic with statistical CoV

1000100

Classical Narrow-Range Test Data for Size Effect on Shear Strength of RC Beams without Stirrups

Kani (1967)

ad=25

Kani (1967)

ad=30

Kani (1967)

ad=40

Kani (1967)

ad=50

Kani (1967)

ad=70

Leonhardt amp Walther (1962)

ad=30

Bahl (1968)

ad=30

1

03

1

05

1

051

3

100 1000 100 1000 100 1000

2

1

100 1000 1000

1

05100

0

0

30 MPa176 mm

vd

=

=0

0

224 MPa246 mm

vd

=

=0

0

154 MPa661 mm

vd

=

=0

0

155 MPa618 mm

vd

=

=

0

0

12 MPa133 mm

vd

=

=0

0

175 MPa386 mm

vd

=

=0

0

133 MPa388 mm

vd

=

=

log

v c(M

Pa)

log

v c(M

Pa)

log d (mm) log d (mm) log d (mm)log d (mm)

1

05100 1000

log d (mm) log d (mm)log d (mm)

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

1000100

Classical Narrow-Range Test Data for Size Effect on Shear Strength of RC Beams without Stirrups

Kani (1967)

ad=25

Kani (1967)

ad=30

Kani (1967)

ad=40

Kani (1967)

ad=50

Kani (1967)

ad=70

Leonhardt amp Walther (1962)

ad=30

Bahl (1968)

ad=30

1

03

1

05

1

051

3

100 1000 100 1000 100 1000

2

1

100 1000 1000

1

05100

0

0

30 MPa176 mm

vd

=

=0

0

224 MPa246 mm

vd

=

=0

0

154 MPa661 mm

vd

=

=0

0

155 MPa618 mm

vd

=

=

0

0

12 MPa133 mm

vd

=

=0

0

175 MPa386 mm

vd

=

=0

0

133 MPa388 mm

vd

=

=

log

v c(M

Pa)

log

v c(M

Pa)

log d (mm) log d (mm) log d (mm)log d (mm)

1

05100 1000

log d (mm) log d (mm)log d (mm)

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Reduced-Scale Tests of Beam Shear Failure at Northwestern (aggregate lt 48 mm)

1 20(1 )N p d dσ σ minus= +

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Incorporating the size effect into design code formulas for reinforced concrete is easy

011

dd+=ϑ

Multiply the formula for the strength contribution of concrete by the size effect factor

(type 2 size effect)

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Design Formula for Shear in RC Beams Proposed in fib 2010 Draft 1) Invalid derivation

from Modified Compression Field Theory MCFT based on plasticity for crack initiation

2) Effects of ρw andad ignored

3) No size effect if minimum shear reinforcement exists

4) etc

Proposed by ACI-446 (fracture mechanics based)

not if 3330 known is if 3800 where

1

1 320

0

40

4083

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fad

v

c

ckvcRd

fkV

γ=

ykckw

w

ffz

080 if 150

0 if 150311000

200

ge=

=le+

=

ρ

ρvk

If stirrups ge minimum stirrups the size effect still exists though pushed into larger sizes (d0 will increase by about one order of magnitude)

DEFICIENCIES

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

0

5

10

15

20

25

30

0 2 4 6

Vu

size d

Pd

d) fib Model Code 2010MCVmax

No size effect

VuVu

Vu prop d1

Vu prop d3 4 = d(dminus1 4 )

Vu propd

1+ d d0

Vu propd

1+ cda horizontal asymptote (unphysical)

Comparison of CURVES OF SHEAR FORCE Vu = bw d vu

vs SIZE d in current codes

Note The curves are scaled to the same initial tangent

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Stress transmitted across crack is not the reason 2P V=

0C

V

ϕ

c b

0Ra

crack

0001

0074 111 151

3162 10minustimes

sεPodgorniak-Stanik( 1998) TorontoTest BN50

Measured steel strains

1CV

V

1C ϕ

75

0

F

2 cfasympσ

1 tfltltσ

Main diagonal crack

σ

Vσy

σt σn

tf

For small beams the contribution of crack-bridging stress is significant ie 40 while for 18 m deep beams it is negligible ie 9

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Failure Mechanism in Shear Test of Large Beam

2P V=

0C

V

ϕ

c b

0Ra

1CV

V

1C ϕ

75

0

2 cfσ asymp

crack

Compression resultant location

Negligible shear stresseson crack face

1 tfltltσ

V

V

FEM crack band microplane model

Toronto 189 m deep

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Small beam dt = 02m Large beam dt = 54m

cf 025dt

cf027dt

025dt 027dt

Interlock shear ndash localized

interlockσinterlockσ

At Vmax

Horizontal compressive stress Localized

stress

Interlock shear (vertical component)

Stresses calculated by microplane crack band model calibrated by Toronto tests

EXPLANATION In larger beams fcrsquo doesnrsquot get mobilized through the whole cross section

Vinterlock = 40 of Vtotal 5 of Vtotal

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)

Conflicts with dimensional analysis based on known asymptotic properties (the asymptotic slope of -1 is excessive thermodynamically impossible)

Is not general Doesnrsquot work for other failure types and materials with the same kind of size effect (eg punching shear or compressive crushing )

In large beams the tensile cohesive stresses along the diagonal crack at peak load are negligible compared to the compressive stress parallel to the crack

In large beams the interface shear due to aggregate interlock contributes only a minor part to the total shear strength although it has an significant effect in small beams

Localization with increasing size of the compressive stress profile across the ligament above the tip of the diagonal crack leads to compressive crushing of concrete at peak load

Crack spacing is a secondary influence not the primary cause of size effect

Small Beam Large BeamBeam top

cf 025d

cf

027dBeam topCompressive

stress distribution

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

1

05

2

1

03 3

log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Size Effect in Beam Shear by Crack-Band Microplane Finite Element ModelSimulation of Toronto test

1

Compressionsplitting amp crushing

Fracture mechanics based finite elementsimulations support the size effect law

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Structural Failures with Evidence of Size Effect

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Sleipner A Platform Norway

Sank 23 Aug 1991~ 82 m deep water~ 190 m tall

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct

- size effect due to compression fracture

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Kobe Earthquake 1995 Hanshin Viaduct

The centurys worst quakesVictims Richter scale

1905 Kangra India 357000 831906 San Francisco California USA 700 831908 Messina Italy 160000 751920 Gansu China 100000 861923 Sagami Bay Japan 200000 831976 Tangshan North East China 695000 791985 Mexico City Mexico 7000 811988 Armenia 45000 691989 San Francisco North California USA 67 711990 North West Iran 40000 771993 South West India 13000 641994 Northridge California USA 61 671995 Kobe Japan 5000 72

- Size effect due to compression fracture (in bending)

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Cypress Viaduct (1989)Nimitz Freeway Oakland CA

Hinge

Crack Initiation at Hinge Location

Hinge

Cypress Structure Typical Bent with Hinged Frames

Hinge

Typical Failure Mode of Bent After Salvadori

Loma Prieta Earthquake

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Schoharie Creek BridgeNY Thruway 1987

DV Swenson amp AR Ingraffea

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Blvd de la Concorde Laval Quebec North suburb of Montreal Sept 30 2006

Shear FailuremdashSize effect was a major factor

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Wilkins Air ForceDepot WarehouseShelby OhioFailed 1955

Beam Depth 0914 m

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Koror-Babeldaob Bridge in PalauBuilt 1977 failed 1996 Max girder depth 14 m span 241 m (world record)

AA Yee ACI ConcrIntJune197922-23

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Koror-Babeldaob Bridge in Palau Built 1977 failed 1996

Our Verdict Compression and shear failure with wave from prestress failure after creep amp vertical prestress loss Size effect must have been strong

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Reappraisal of Some Structural CatastrophesSIZE EFFECT WAS AN IMPORTANT FACTOR

Strength ReductionPlain Concrete Due to Size Effect

bull Malpasset Dam France (failed 1959) 77bull St Francis Dam LA (failed 1928) 60bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete bull Cypress Viaduct column Oakland 1989 earthquake 30bull Hanshin Viaduct columns Kobe 1995 earthquake 38 bull bridge columns LA 1994 Norridge earthquake 30bull Sleipner A Oil Platform plate shear Norway 1991 34bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32bull record-span box girder Palau failed 1996 - prelim gt50bull Laval Overpass Montreal beam shear 2006 gt40

Reappraisal of Some Structural Catastrophes
SIZE EFFECT WAS AN IMPORTANT FACTOR

Strength Reduction
Plain Concrete Due to Size Effect
bullMalpasset Dam France (failed 1959) 77
bullSt Francis Dam LA (failed 1928) 60
bull plinth of Schoharie Creek Bridge 1987 46

Reinforced concrete
bullCypress Viaduct column Oakland 1989 earthquake 30
bullHanshin Viaduct columns Kobe 1995 earthquake 38
bullbridge columns LA 1994 Norridge earthquake 30
bullSleipner A Oil Platform plate shear Norway 1991 34

bull Warehouse beam shear Wilkins AF Shelby OH lsquo55 32

bull record-span box girder Palau failed 1996 - prelim gt50

bull Laval Overpass Montreal beam shear 2006 gt40

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Evidence from Individual Laboratory Tests onthe Same Concrete

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

1

05

2

1

03 3log dd0

0

nvv

0

01 =

+nvvd d

0

0

180 MPa247 m

==

vd

Toronto test V

V

Compressionsplitting amp crushing

Stress Intensity Field

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Evidence from Large Worldwide Laboratory

Database

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

101 10

01

1

001

Size (or depth) d [m]

log

[M

Pa]

14

121

1

ACI-445F Database with 784 points (biased by ad daggr varying with d )

13

Limit analysis

ACI-446 and present proposal

ρ

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

250 150500

200

100

0100 200

86 of data

Extrapolation (theory required)

Practical range for size effect

Beam Depth D (inches)

Numb

er of

Tests

Beam Shear Histogram

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Stee

l rat

iowρ

002

0

004

006

da

Shea

r Spa

n ra

tio

2

0

4

6

8

6 96 in

008

fc ksi

4

0

8

12

16

20

Com

pres

sive S

treng

th

1

0

2

Maxim

um A

ggre

gate

da in

12 24 48 6 96 in12 24 48

6 96 in12 24 48 6 96 in12 24 48

Only 1 point

Only 1 point

Only 1 point

Only 1 point

Intervals of size (or depth) Δdt

Interval averages of w ad daggr vary over size rangeρ

Average longit steel ratio varies as 101

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Restricting Strength Range of Data to Achieve Approximately the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

u

c

Vbd f prime

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in

u

c

Vbd f prime

d d d

21

21

21

21

21

21

Mean size effects revealed by several data subbases with bias filtered out to make averages of ρw ad daggr uniform

Note The means agree with ACI-446 size effect curve The slope is never steeper than -12 (thermodynamically impossible anyway)

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

Nearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Decrease of Safety Margin with Increasing Size

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Probability Distribution of Shear Strength

cr

c

fv

(m) d01 1

1

10

Could we treat entire database as a statistical population Noexcept for the part of size range where size effect is weak

183 data points all satisfy the minimum shear reinforcement requirement

d lt 05 m

For d lt 05 m lognormal distribution is a better description for shear strength because of the scatter insulting from variability of secondary characteristics e g ρ ρ ad

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Relation of Size Effect Test Result to pdf of Database

cr

c

fv

Toronto tests (1998-2000)

2 cc fv =

psi 5365 =crf

1

6

1 100

21

364 in

100

Entire database

1

6

10

Smallsize

Largesize

2 crc fv =

= required averagecompr strength

crf

(in) d

2 crc fv =

2 cc fv =

Portion of database for small size range

12 in

1

6

3 50

4 in

10Log-normal in log - scale

Small size

2750 cc fv times=

(in) d(in) d

70 crc ff asymp= specified

compressive strength

a

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

610minusasympfP

Shift of Resistance cdf Due to Size Increase

310minusasympfP

100

Shifted pdf for large beam

1

6

10

Smallsize Large

size

2 crc fv =

Meana

a

40

Failure probability

Load distribution

a

1

6

1 100

aMean

Expected resistance distribution

Mean2 cc fv =

2 crc fv =

cr

c

fv

Max Service Load

shiftΔ

Δ is due to micro φload factor and crc ff

Known resistance distribution

(in) d(in) d

intinfin

=

0 d)()( yyFyfP RLf

(No Stirrups)

GreatRisk

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Do stirrups suppress the size effect

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Size effect factor for beams with stirrups

011

ss dd+

(type 2 size effect)

00 10dds =

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

log d (m) log d (m)2

5

02 0802 115

19Bahl Kong amp Rangan

ad =30σs = 96 psi gt 50 psi

21

2

1

ad =24σs = 130 psi gt 50 psi

5

2

01 1log d (m)

log

v n(M

Pa)

21

Walraven ampLehwalter

Classical tests of geometrically similar RC beams made with the same concrete indicate that stirrups mitigate but do not eliminate the size effect

a) Deep beams b) Slender beams

ad =10

= 0

= 015

ρw= 033

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Statistical Bias in Database

1) The data points are crowded in small size range2) In different size ranges the distributions of secondary influencing

parameters are not uniform

Two main causes of statistical bias

0 2 4 6 8 100

40

80

120

Num

ber o

f dat

a po

ints

d (m)

90 less than 06 m deepNo beam is deeper than 2 m

Practical interest

03 06 12

10

5

0 log d (m)

ρ w

03 06 12

10

5

0 log d (m)

ρ v

Uneven distribution of steel ratio of horizontal bars

Uneven distribution of steel ratio of shear reinforcementS

rrup

Rai

o

Ste

el

Rat

io

Size

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Regression After Suppressing the Bias

Tiny circles points filtered outBig circles points retainedBlue diamonds interval centroid

Mean ρw = 19Mean ad = 33Mean vs = 06 MpaMean da = 20 mm

Nom

She

ar S

treng

th

Size

Database of 183 pointsBeams with Stirrups

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Numerical Simulations Based on M4 ModelCalibrated by Toronto Tests

δS0 002

12

744

Min stirrups

Toronto beam

d = 186 in

d = 744 in

d = 2976 in

vn d = 1488 in

d = 744 inwithout stirrups

V

V

1 10

v0 = 148 MPad0 = 213 m

d (m)

vc 1

05

21

ρw= 148

Simulations

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Stirrups

3D FEM simulation of beams with stirrups

Stirrups did not yield

Crack pattern is the same as in 2D

Max principal stress flow

d=

486

Beam depth d = 486m Microplane model M4

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Crack-Band Microplane FEM Simulations of 189 m Deep Toronto Beam Min Stirrups

V

Defl δSpan L0 0016

12

Test

744

Min stirrups

Toronto beam

d = 186 ind = 744 in

d = 2976 in

d (m)

Total

shea

r stre

ngth

v nvn

1 9

1

08v0 = 128 MPad0 = 55 m

d (m)Conc

rete

shea

r stre

ngth

v c

1 9

1

05 v0 = 10 MPad0 = 24 m

Scaled down

Scaled up

fit by SEL fit by SEL

matches the test

matches the test

log (size)

21

21

MuchDeeperBeam

Load (189m)

(756m)

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

1

05

2

1

03 3log dd0

0

01 =

+nvvd d

21

03

1

06 5log dd0

0

01 =

+cvvd d

12 204

14

12

10

ρ = s

w

Ab d

wb

dMin stirrups

v n(M

Pa)

Flexural failureShear failure

V

12

08

0

04

0 0001 0002

075 ρbd = 372 in

d = 1488 ind = 744 in

2 286= =a l d

744 in=d

ρ () of longitudinal steelδ l

vn

Total

shea

r stre

nth v n

v0

Conc

rete

shea

r stre

ngth

v cv

0

Crack-Band Microplane FEM Simulations of Shear of Beams with Minimum Stirrups

v0 = 180 MPa

d0 = 247 mv0 = 159 MPa

d0 = 121 m

COMPAREFor no stirrupsd0 = 027 m So the stirrups push the size effect up by ~ 1 order of magnitude

(094m)

(189m)(378m)

d0

Toronto Test

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Newly Collected Database for Shear Beams with Stirrups

cr

n

fv

D (mm) 1000100

1

10

When the data are treated as a statistical population

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Unequal Safety Margin if Size Effect Ignored

Bhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

01 1 10

1

10

cr

c

fv

(m) d

2 cc fv =

ACI

41951

a

aa

a

03 m 1 m 2 m 6 m

Same aassumed

Distance a is calibrated here

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Failure Probability of RC Beams with Stirrups

Mean of maximum loads

01 1 1001

1

10

10-310-410-510-6

a

a

aa

cr

c

fv

(m) d

03 m 1 m 2 m 6 mBhal 1968

Nonlinear regression of Bhals size effect test on beams with stirrups

Load distribution

Shear strength distribution

OK Not OK

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Note 80 of shear load is carried by stirrups

a) Design with Stirrups

cr

c

fv

2 crf

a a

100 1000D (mm)

Pf ltlt10-6

Mean load carried by concrete

1

10d = 16 m (63)

01

bw = 98

d = 633 - 6each face

14 legs of 5 12 in

3 layers of 25 11

20 - 9 top bars

Vu = 1540 kisps fc = 5000 psi agg = frac34

fy = 60 ksi ρw = 190

d = 673 - 6each face2 layers of 33 11

bw = 165

Vu = 1620 kisps fc = 10000 psi agg = frac34

fy = 60 ksi ρw = 093

b) Alternative Design - No Stirrups

30 diameter column 20 feet high

40 - 0

30 diameter column 20 feet high

DL = 1650 kipsLL = 550 kipsTotal = 2200 kips service load

71

100

1

5

10

2 crf

Meana

a

Pf = 10-1

cr

c

fv

Wide Beam of Bahen Center in Toronto

d = 17 m (67)

Mean load

Load distributionyet the design satisfies ACI code(concrete carries only

20 of shear force)

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

01 1 10 100

1

log

(vcv

0)

Full ACI-445Fdatabase

log (dd0)

313=micro

10=micro

21

2

Shear Strength Design Equation Calibrated by Least-Square Nonlinear RegressionmdashACI-446 Proposal to ACI-318 Aug2006

ω = 150

not if 3330 known is if 3800

1

1 32 0

0

83

==

=+

+= minus

κκ

κmicroρ

aa

cc

wc

dd

fddd

fadv

d (in)

Num

ber o

f tes

ts

Approximation of histogram

00

240

8040

120

Data points are not uniformly distributed in different size intervals

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Capture Size Effect by Proper Statistical Analysis

1) The data points are crowded in small size range

2) In different size ranges the distributions of secondary influencing parameters are not uniform

Two main causes of statistical bias

6 12 in 24 48 9610 100

1

7

c

c

fv

10 100

1

6

c

c

fvin 670

33

51

=

=

=

a

w

d

da

ρ

21

dd

Data that remain after filtering Regression of CentroidsMean in intervals

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

33a d =

da

2

8

5

2

8

wρ wρ

da wρ

003

0

006

5

Entire Database

3 Filtered Databases

003

0

00625wρ =

003

0

00615wρ =

10 100

d

003

0

00609wρ =

da

2

8

5 33a d =

10 100d

da

2

8

5 30a d =

10 100 10 100

d10 100 10 100

AchievedNearly uniformsteel ratio shear span and aggregate size

Stee

l rat

io

Shea

r Spa

nInterval means

1) 2) 3)

log ( size )

Database Contaminated by Variation of Secondary Parameters

Stee

l rat

ioSh

ear S

pan

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Filtered Database with Nearly Uniform Steel Ratio Shear Span amp Aggregate Size

10 100

10 100d 10 100d

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

d

in) 670 33( == adda

in) 670 33( == adda

2

9

2

9

01

8

01

8

02

2

02

2

da

da

ad

ad

log

(stee

l ratio

)

log (size)

52=wρ

51=wρ

log

(shea

r spa

n)

log

(agg

r size

)

log

(stee

l ratio

)

log

(shea

r spa

n)

log

(agg

r size

)Circles remain dots omitted

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Restricting Strength Range of Data to Achieve Approx the Same Means of ρw ad da in All Size Intervals

10 100

1

6

c

c

fv in 670

33

=

=

ad

da

21

10 100

2

6

d

in 670

33

=

=

ad

da

21

10 100

1

3

d

in 390

03

90

=

=

=

a

w

d

da

ρ2

1

6 12 24 48 96 in 6 12 24 48 96 in 6 12 24 48 96 in10 100 10 100 10 100

1

7

1

7

1

7

c

c

fv

d

Interval Centroids of Remaining Data Points

log (size)

log

(relat

ive sh

ear s

treng

th)

52=wρ 51=wρ

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

of individual data points (weight) ~ 1 (number of points in interval)

Weighted regression

in 670 33 == addain 670 33 == adda

10 100d

c

c

fv

6

10 100d

1

6

c

c

fv

ω = 223 ω = 236

2

Weighted regression

Unweighted regression

Centroid regression

Centroid regression

Unweighted regression

Size Effect Law Fitting Centroids of FilteredDatabase with Uniform

51=wρ 52=wρ

aw dda ρ

log (size)

identical identical

(purely statistical inference)

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

EFFECT OF STIRRUPS

bull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent it

bull Increasing stirrup ratio in large beams is ineffective and caneven reduce the shear strength

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Covert Safety Factors

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

OVERT understrength Factor

65 837covert u factors

83775

( 07 )c crf fasymp

Design load 16L+12D or 14D

Inverse scale

02 04 06 08 10 15 20 5 infin0

1

2

3

4

5

TorontoTest - No stirrups

Expected Mean plusmn SD

2 cf=

31c crv f=

183c crv f=

101c crv f=

Toronto testsd = 744 in (189 m) (from Bentzs memo to Bažant Oct17 2003)

X Parameter of Steel Ratio and Shear Span

c

cr

vf

Vc = shear strength contribution of concrete

Mean = 31 SD = 068

ACI 1962 Small-BeamDatabase

vc = Vcbwd

ACI formula

125c cv f=

2c crv f=Toronto Test - Min Stirrups ndash25

41

Overt and Covert Understrength Factors

PARADIGM - Shear Tests of Small Beams

Safety factor asymp 35

Max service load

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Obscuring Effect of Covert Understrength Factors on Forensic Evidence

Safety factor for shearSmall beam

Large beam (for size effect ratio = 2)

16 38 average075 083 065

= = =times times

ϕ- range from 23 to 7

14 17 average075 083 065 2

= = =times times times

ϕrange from 105 to 3

Why is the size effect rarely identified in analyzing disastersMore than one mistake is needed to bring down a structure

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Failure of Sleipner A Platform

Water 67m head at failure

T19

T31

D3

Failure

Finite element model

Size Effect ft reduced by 40

wrong mesh

With post-processing- shear force 55 of actual

Wrong detail

Stirrups absent- not required by Code- would increase head to 125m

T-he

aded

bar

T-headed bars - if elongated 25cm- 125m head

Assumed failure mode

Kinked reinforcing bars

~ 095 m Spalled concrete

Deflection of wall

Spalled concreteCrack width

Posterior pmax ~ 08 - 12 papplied

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

How to Remedy Misleading CovertUnderstrength Factors in CodesOption 1

bullUse mean prediction formulas not fringe formulas

bullUse mean material strength not reduced strength

bull In addition to the current understrength factor ϕ = ϕb accounting for brittleness impose understrength factors minus ϕf for error of formulaminus ϕm for material strength randomness and specify their CoVrsquos ω

For shear ϕb = 075 ϕf = 065 ϕm =083

( ) c crf f primeorcf prime

Option 2bullKeep the current fringe formulas

bullKeep the reduced strength

bullSpecify the implied understrength factors

ϕf and ϕm

with the coefficients of variations egωf = 22 and ωm = 19

and with the probability cut-offs eg 65 and 75

cf prime

Only this will render reliability assessment meaningful

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

L

p

q

Hidden size effect factor

d

1 2

1 1 2

105 16Max(14 12 16 )

075 to 1

CodeNTrueN

C d CC d C d C

+= =

+=

σϕσ

Max( 12 161 )

105 16

4CodeNTrueN

D D LD L

σ

σ

= +

= +

Wrong Size Effect Hidden in Excessive Self Weight Factor

2

1

1

075

001 10 10000

Hidden inload factor

logφ

log( )s ize

Actual

SmallLarge

(d = size)Wrong for Flexural vs shear failure high-strength vs normal concrete prestressed vs normal concrete etc

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Revised Reliability Indicesa) Cornell Index

2 2 2L R

L Rs sτ

micro microβ minus=

+

i

i

yii

yi

yy

smicro

τ

minusprime =

b) Hasofer-Lind Index

2

1min

n

ii

yβ=

prime= sumP f

0

1

chosenPf = 10-6

Gaussian

Weibullxf micro

Means=1ω= 0052m=24

TGTW

τ = TWTG

0

Linearizedfailure plane at design point(y1 y2) β

y2

y1

Safe regionRgtL

Failure regionLgtR

y1

y2

τi = 1 for loadge 1 for resistance

Neither FORM nor SORM but EVRM (extreme value RM)

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Max(16 12 14 ) f mL D D F+ le ϕ ϕ ϕ

Max(16 12 14 )L D D F+ le ϕ

Safe Design CriterionCurrently

φ = strength reduction (understrength) factorintended to distinguish brittleness

φ = 075 for shear

Problem F is a fringe formula involvingCovert understrength factors

φf mdash for formula errorφm mdash for material strength randomness

Required Revision

φf asymp 065 φm asymp 083 for shear

F = load capacity by design formula

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Size Effect in Punching Shear

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

II Size Effect in Punching Shear of RC Slabs

ACI-445C-Database for Punching of Slabs

440 Tests (60 researchers)d (effective depth of slabs) ranges from 118 in to 263 in (from 30 to 668 mm)fc (concrete strength) ranges from 1160 to 17114 psi (from 8 to 118 MPa)ρ (longit reinforcement ratio) ranges from 01 to 73

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Formulae in Main Design Codes

Vc=total capacityb0=control perimeterb0E=control perimeter (EC)d =effective depthfc =concrete strengthξ =Size effect term in ECρ =reinforcement ratio (longitudinal)ψ =slab rotation term (MC)θ =size effect term in proposed model

Asymptotic slope -1 isimpossible

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Database Filteringto reveal the size effect

trend without any calculations

Unfiltered

Filtered mean steel ratio

Filtered mean bd

Filtered mean cb

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Database filtering(continued)

Mean steel ratios

Mean bd

Mean cb

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Premise1) The tests relevant to size effect are limited and not scaled2) Microplane model M7 gives generally excellent fits of test data on concrete failures

Approachbull Calibrate M7 parameters by fitting existing

test data with limited size range and different structural geometries

bull Then use calibrated M7 to predict the size effect by simulating scaled specimens

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Calibration of M7 by Multivariate Regression

of Test Data for Effect of Other Parameters

Tests by Elstner and Hognestad 1956 Tests by Lips et al 2012

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Cross points hold for finite element analysis results (simulations of the experimental works)Circle points hold for the experimental resultsSolid lines refer to the size effect fit of the FEM results

Verification with microplane model M7 for slabs without shear reinforcement

Tests by Bazant and Cao 1987

Tests by Regan 1986

Tests by Guandalini and Muttoni 2009

Tests by Li 2000

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Verification with microplane model for slabs with shear reinforcement

Load-Deflection curves of tests and corresponding FEMs

Notperfectlyscaledspecimens(1 16)

Finite element models and corresponding fracture patterns

Perfectly scaled FEM without and with shear reinforcement

Tests of Birkle

Tests of Lips et al

Test data of Birkle 2004 and fits by proposed size effect equaton

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Proposed model and calibration by multivariate

regression

D = slab thickness c = side of column b = its perimeter

Data normalized by v0

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Size Effect in Torsion

Type I

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136 90

II Size Effect in Torsional FailuresPlain concrete beams solid cross sections

Size effect plot (log-scale) Failure pattern

MODEL

AFTER TESTTests by Bazant Sener 1987

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

91

Size Effect on Torsional Failure

bull 3 sizes tested in lab d = 15rdquo 3rdquo 6rdquo)bull Size range extended using microplane model M7 to 113bull Type I failure ndash as soon as peak torque is reached

Scaled computed torque-twist curves

T T

max

Twist (deg)

Bažant Z P and Sener S ldquoSize Effect in Torsional Failure of Concrete Beamsrdquo Journal of Structural Engineering V 113 No 10 1987 pp 2125-2136

Plain concrete beams ndash reduced scale tests

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Hsu T T C ldquoTorsion of Structural ConcretemdashPlain Concrete Rectangular Sectionsrdquo Torsion of Structural Concrete SP-18 American Concrete Institute Farmington Hills MI Jan 1968 pp 203-238 92

Torsional failures model validationPlain concrete beams tested by Hsu (1968)

10rdquox20rdquo

10rdquox15rdquo

10rdquox10rdquo

6rdquox195rdquo

6rdquox11rdquo

bull Effects of size (and shape) observed in tests bull Model predictions match tests very well ndash lends

confidence to the model

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Hsu T T C ldquoTorsion of Structural ConcretemdashBehavior of Reinforced Concrete Rectangular Membersrdquo Torsion of Structural Concrete SP-18 Am Concrete Institute Farmington Hills MI

93

Torsion of RC Beams Model Validation

bull Note Strong effect of reinforcement ratiobull Predictions by calibrated model match tests very

well ndash lends confidence to the model

B1B1

B2 B3

B4B5

B6

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

94

Size effect in torsional failuressInterestingly is of Type 1 even with stirrups

Reinforced Concrete Beams (Hsu 1968)Without stirrups With stirrups

Size D [mm] ndash log scale

Kirane K Darun Singh and Bažant Z P ldquoSize Effect In The Torsional Strength Of Plain And Reinforced Concreterdquo submitted to ACI Structural J

Pure prediction - no test data

Nom

inal

str

engt

h v

u [M

Pa]

Test data by Hsu 1968

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Size Effect on Columns Prestressed Beam Flexure

Composite Beams andOther Types of Failure

See Bazantrsquos website

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

Code Articles Requiring Size Effectbull shear of beams without

and with stirrupsbull torsion of beams bull punching of slabs bull shear of deep beams bull bar splices and

development length bull all failures due to

compression crushing of concrete as in-- columns -- prestressed beams -- arches -- bearing strength -- strut-and-tie models

bull failure of composite beams due to failure of connections

bull precast concr connections-- grouted joints -- shear keys -- connectors -- toppings

bull softening seismic failuresbull delamination of bonded

laminate retrofitbull flexure of plain concrete bull strength reduction factors

for brittle failuresbull load factors for self-weight

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97

97

Thanks for listening

Questions please

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • QUASIBRITTLE MATERIALS
  • Intuitive Explanation ofEnergetic Size Effect (Type 2)
  • Slide Number 6
  • Slide Number 7
  • Size Effect (of Type 2) Dimensional Analysis and Asymptotic Matching
  • Derivations of Size Effect Law
  • Asymptotic Matching Size Effect of Divinycell H100 Foam
  • Energetic ( Quasibrittle ) Mean Size EffectLaws and Statistical Generalization
  • Slide Number 12
  • Slide Number 13
  • Incorporating the size effect into design code formulas for reinforced concrete is easy
  • Slide Number 15
  • Slide Number 16
  • Slide Number 17
  • Slide Number 18
  • Slide Number 19
  • Problems with Explaining the Size Effect by Reduction in Interface Shear Transfer Resistance (Collins et al)
  • Slide Number 21
  • Slide Number 22
  • Schoharie Creek Bridge NY Thruway 1987
  • Sleipner A Platform Norway
  • Failure of Sleipner A Platform
  • Kobe (Hyogo-Ken Nambu) Earthquake 1995 Hanshin Viaduct
  • Kobe Earthquake 1995 Hanshin Viaduct
  • Cypress Viaduct (1989) Nimitz Freeway Oakland CA
  • Schoharie Creek Bridge NY Thruway 1987
  • Slide Number 30
  • Slide Number 31
  • Slide Number 32
  • Slide Number 33
  • Slide Number 34
  • Slide Number 35
  • Slide Number 36
  • Slide Number 37
  • Slide Number 38
  • Slide Number 39
  • Slide Number 40
  • Slide Number 41
  • Slide Number 42
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • Slide Number 46
  • Slide Number 47
  • Slide Number 48
  • Slide Number 49
  • Size effect factor for beams with stirrups
  • Slide Number 51
  • Slide Number 52
  • Slide Number 53
  • Slide Number 54
  • Slide Number 55
  • Slide Number 56
  • Slide Number 57
  • Slide Number 58
  • Slide Number 59
  • Slide Number 60
  • Slide Number 61
  • Slide Number 62
  • Slide Number 63
  • Slide Number 64
  • Slide Number 65
  • Slide Number 66
  • Slide Number 67
  • Slide Number 68
  • EFFECT OF STIRRUPSbull Stirrups can push the size effect up by an order of magnitude of Dl0 but cannot prevent itbull Increasing stirrup ratio in large beams is ineffective and can even reduce the shear strength
  • Slide Number 70
  • Slide Number 71
  • Slide Number 72
  • Slide Number 73
  • Failure of Sleipner A Platform
  • How to Remedy Misleading CovertUnderstrength Factors in Codes
  • Slide Number 76
  • Revised Reliability Indices
  • Slide Number 78
  • Slide Number 79
  • II Size Effect in Punching Shear of RC Slabs
  • Formulae in Main Design Codes
  • Database Filteringto reveal the size effect trend without any calculations
  • Slide Number 83
  • Slide Number 84
  • Calibration of M7 by Multivariate Regression of Test Data for Effect of Other Parameters
  • Slide Number 86
  • Slide Number 87
  • Proposed model and calibration by multivariate regression
  • Slide Number 89
  • Slide Number 90
  • Slide Number 91
  • Slide Number 92
  • Slide Number 93
  • Slide Number 94
  • Slide Number 95
  • Code Articles Requiring Size Effect
  • Slide Number 97