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MKAQ 1053 / SKAA 4813
Pavement Design & Construction/ Advanced Highway Engineering
Dr. Haryati Yaacob
Office Location
• M50- Room 02-34
– 07-5538666/ 019-7341405
• Topic 1 – Flexible Pavement Design:
– AASHTO Method,
– Asphalt Institute Method,
– ATJ 5/85 (revised 2013)
• Topic 2 – Rigid Pavement Design
- Concrete pavement in Malaysia
- Concrete pavement elements
- Subgrade and sub-base design
- Shoulder options
- Design of rigid pavement
- AASHTO Method
- PCA Method
- Joints
- Steel design
• Topic 3 – Interlocking Block Pavement
Recommended Text
• Huang, Y.H., Pavement Analysis and Design,
Prentice Hall, 1993.
• Freddy L. Roberts et. Al., Hot Mix Asphalt
Materials, Mixture Design and Construction,
NAPA, 1996.
• Yoder & Witczak, Principles of Pavement
Design, Wiley Publications, 1975.
Flexible Pavement
• Structure
– Surface course
(waterproof, anti-skid)
– Base course
– Subbase course
– Subgrade
Pavement types
Type of Pavement & their Load
Distribution
Pavement Types & How They
Effect the Subgrade
Structural Design of Flexible
Pavements
Subgrade
Granular Subbase Layer
Granular Base Layer
Binder Layer
Surface Layer
Design Procedures
• AASHTO Method
• Asphalt Institute Method
• ATJ 5/85 (2013)
AASHTO METHOD
AASHO Road Test
• 1958 - 1960 near Ottawa, Illinois
• Soil uniform and representative of large
portion of US
• 4 large and 2 smaller loops
• Variables included
– pavement thickness
– load magnitude
– environmental effects
• Introduced concept of serviceability (PSR)
• Forms basis of AASHTO Method
AASHO Road Test
Development of Design• AASHO Road Test
– Basis for most currently acceptable design methods
– Importance of traffic loads and repetition
• Design has been largely an empirical process
– Current AASHTO Procedure
• AASHTO is still a statistically based empirical
design method
– Original models revised and extended to make them
more widely applicable
AASHTO Design Variables
• Time
• Traffic
• Reliability
• Materials
• Environment
• Serviceability
Time
• Performance Period
– Time from initial
construction to first
rehab
– Time between rehabs
• Analysis Period
– Time that any design
must cover
– Often equal to
performance period
Highway Analysis
Period
High Volume Urban 30 - 50
High-Volume Rural 20 - 50
Low-volume paved 15 - 25
Low-volume
aggregate surface
10 - 20
Traffic: Primary Design Input
• Complex Problem
– Traffic is composed of many vehicle types
• “Mixed” traffic
• Variable load magnitude
• Variable tire and axle configurations
• Variable tire inflation pressure
• Variable speeds
– Need to predict future growth, changes
– Estimate where traffic will travel
• Wheel wander
• Lane selection
Load Observations/Assumptions
• Different wheel loads and configurations produce different pavement response
• Larger, more concentrated loads = more stress/strain
• Repeated stress/strain can cause eventual failure
• Fewer applications of heavy loads can cause comparable damage to higher applications of lighter loads
• Load repetitions can be correlated to loss of serviceability
Mixed Traffic –Axle configuration
Truck Wheel Loads
Tractor
Single Axle, Single Tires
Trailer
Single Axle, Dual Tires
Tandem Axle, Dual Tires
• Legal axle weight: 18-20 kip
• Tire pressure: 80 – 120 psi
• More axles can carry more
weight, but spread out the
damaging effect
ESALs
• Equivalent Single Axle Loads
• Used for highway pavements to convert mixed traffic to a number of standard axles for design
• Defined as:– Total # of applications of a standard axle (generally
18,000 lb single) required to produce the same damage or loss of serviceability as a number of applications of one or more different axle loads and/or configurations over life of pavement
21
ESAL Calculation
ESALi = Current Traffic x Growth Factor x 365 x ESAL Factor
m
i
itotal ESALESAL1
Growth Rates• Large errors can result in ESAL calc’s from poor
estimates of future traffic
• Best estimates are obtained by forecasting
vehicle types separately
• Forecasting techniques include
– Historical trends (regression)
– Engineering judgment
– Compound interest equation
– Straight line projections
23
Predict Future
• How fast will traffic grow?
• What is the design level of traffic?
• Examine historical trends
– Develop best estimate of future growth
rate
• Apply growth factor to current volume
g
gFactorGrowth
n 1)1(
Lane and Directional Distributions
• Typical Assumptions
– Directional distribution = 50%
– Lane Distribution-Typically design for
‘heaviest’ loaded lane
# Lanes/Direction %Traffic In Design Lane
1 100
2 80-100
3 60-80
4 or more 50-75
Conversion of mix traffic to ESALs
Reliability• Definitions
– Reliability = 1 – P[Failure]
– “The reliability of a pavement design-performance process is the probability that a pavement section designed using the process will perform satisfactorily over the traffic and environmental conditions for the design period.”
• 1993 AASHTO Guide
Reliability
Recommended Reliability
Functional Class Urban Rural
Interstate/Freeway 85-99.9 80-99.9
Principle Arterials 80-99 75-95
Collectors 80-95 75-95
Local 50-80 50-80
Variability
• Need design standard deviation
– Account for variability of all input variables
• Recommended values
– S0 = 0.45 (flexible)
– S0 = 0.35 (rigid)
Serviceability – ability of a pavement to
serve the type of traffic
PSI
• 0 – 5
• 0 = Impassible
• 5 = Perfect
PCRDSVPSI 01.0)(38.1)1log(91.103.5 2
(Flexible Pavement)
(Rigid Pavement)
PCSVPSI 09.0)1log(80.141.5
Materials
• Need to characterize stiffness
– E, Mr
• Account for seasonal variability
• Determine structural coefficients
Environment
• Need to consider freeze/thaw and swelling
of soils
– AASHTO has an established procedure
– We will not go through the procedure
Seasonal Effects on Unbound Layers
10
100
10001
-Feb
3-M
ar
2-A
pr
2-M
ay
1-J
un
1-J
ul
31
-Ju
l
30
-Au
g
29
-Sep
29
-Oct
28
-No
v
28
-Dec
Date
Ela
stic
Mo
dulu
s, M
Pa
Seasonal Effects on HMAC
Cell 1 - Mn/ROAD (1993-1996)
100
1000
10000
100000
0 30 60 90 120 150 180 210 240 270 300 330 360
Day of Year
Mo
du
lus,
MP
a
AASHTO Design Values
• Select average values for everything but
not subgrade
• Compute relative stiffness of subgrade for
design
Effective Subgrade Modulus/ Effective
Roadbed Soil Resilient Modulus, Mreff
Definition: an equivalent modulus that would result in the same damage if
seasonal modulus values were actually used
Finding Mreff
• Find seasonal modulus every month
– Non destructive deflection testing
Finding Mreff
• Find relative damage, uf for each season
Uses AASHTO Damage Equation
mf = 1.18x108MR-2.32
• Determine weighted average uf
• Find Mreff corresponding to uf
Structural Number
SN = a1D1 + a2m2D2 + … + anmnDn
Structural Coefficients
• ai = measure of relative ability of a unit
thickness of a given material to function as
a structural component of the pavement
Asphalt Concrete Structural Coefficient , a1
Granular Base Layer Coefficient (untreated) , a2
a2= 0.249 (log E2) -0.977
Granular Subbase Layer Coefficient , a3
a3-= 0.227 ( log E3)- 0.839
Drainage Coefficient, mi
• Depends on quality of drainage and
availability of moisture
Quality Water < 1% 1 -5 % 5 - 25% > 25%
Removed
Excellent 2 hours 1.40 - 1.35 1.35 - 1.30 1.30 - 1.20 1.20
Good 1 day 1.35 - 1.25 1.25 - 1.15 1.15 - 1.00 1.00
Fair 1 week 1.25 - 1.15 1.15 - 1.05 1.05 - 0.80 0.80
Poor 1 month 1.15 - 1.05 1.05 - 0.80 0.80 - 0.60 0.60
Very Poor Never Drain 1.05 - 0.95 0.95 - 0.75 0.75 - 0.40 0.40
mi Values for Modifying Structural Layer Coefficients
(Untreated Base and Subbase Materials)
% Time pavement structure is exposed to
moisture levels approaching saturation95%
Design Equation
• Based on road test
• Determines number of ESALs before DPSI
is reached
07.8log32.2
1
10944.0
5.12.4log
20.01log36.9log
19.5
018
D
RR M
SN
PSI
SNSZW
Design Procedure
• Determine SN required above each layer
• Find thickness to satisfy SN above each
layer
AASHTO Layer Thickness Determination
Subbase E3 a3 m3
Base E2 a2 m2
Surface E1 a1
SN3 SN2 SN1
D1
D2D3
Roadbed Soil
SN= a1D1 + a2D2m2 + a3D3m3
D1≥ SN1/a1
D2 ≥( SN2- a1D1)/ a2m2
D3 ≥ (SN3- a1D1-a2D2m2)/a3m3
Minimum Thickness - AASHTO
ESAL, 1000 AC Base
< 50 1 4
50 – 150 2 4
150-500 2.5 4
500 – 2,000 3 6
2,000 – 7,000 3.5 6
> 7,000 4 6
Design example
• Calculate D1, D2 and D3. Given:
– E1= 400,000psi; E2= 30, 000psi; E3= 11,000
– a1= 0.42; a2=0.14; a3= 0.08
– m2=m3=1.2
– Mreff = 5,700 psi
– w18= 18.6 x 106
– R = 95%
– So= 0.35
– ΔPSI = 2.1
Asphalt Institute Method
Mechanistic-Empirical Design
Design Criteria
• Mechanics of materials coupled with
observed performance
Number of Loads Until Failure
Str
ess o
r S
train
Performance Equations
• Fatigue
– 11% AC
– VTM 5%
– 20% Cracking at AASHO Road Test
• Rutting
– ½” Rut
– Need to have good materials, compaction
854.0
291.3
*1
0796.0
EN
t
f
477.4
9 110365.1
v
rN
Traffic Analysis
• Use ESALs for detailed analysis
• Same process as AASHTO
– SN = 5
– pt = 2.5
Simplified procedure for
determining Design ESAL
Materials
• Resilient modulus and Poisson’s ratio
• Poisson’s Ratio
– Soils = 0.45
– Other materials = 0.35
Soils modulus determination
***Discussion based on handouts given.
• Determine the design level from modulus
measurements
– Charts account for seasonal changes
• Design level function of traffic
– Build in reliability safety factor
ESAL Design Value %
<10,000 60
10,000 – 1,000,000 75
>1,000,000 87.5
Quality requirements for untreated
Aggregate Base and Subbase
• Should meet requirements below
Test Subbase Base
CBR, min 20 80
R-Value, min 55 78
LL, max 25 25
PI, max 6 NP
Sand Eq., min 25 35
P200 12 7
Design charts
• Design charts were developed based
• Temperature
– 3 Regions
• New York: 45˚F
• North Carolina: 60˚F
• Arizona: 75˚F
• Pavement Type– Full depth HMA
– HMA over Emulsified Asphalt Bases- Three types
• I: dense graded aggregate, similar to HMA
• II: semiprocessed aggregate
• III: mixes with sands or silty sands
– HMA over untreated aggregate Base
– HMA and emulsified Asphalt over Untreated Aggregate Base
AI – Design Procedure
• Select pavement type
• Select region
• Determine traffic
• Determine MR
• Use design charts to find thickness
AI Minimum Thicknesses
ESALs Min HMA over Type I Min HMA over Type II
& Type III
104 1 2
105 1.5 2
106 2 3
107 2 4
>107 2 5
Combine thickness of HMA surface course and emulsified asphalt base
course.
I – mixes with processes dense graded agg which should be mixed in a plant and have
properties similar to HMA
II- mixes with semiprocessed, crusher run, pit run or bank run agg
III – mixes with sands or silty sand
Total HMA thickness, including both surface and base course
Design example
• MR = 10, 000 psi , ESAL = 106, Determine
thickness :
– Full depth HMA
– HMA surface over type II emulsified asphalt
base
– HMA over 6” untreated aggregate base
– HMA and emulsified asphalt mix over 6”
untreated aggregate base
ATJ 5/85 Design Method
(2013 revision)
• New flexible and semi flexible pavements
containing one or more bound layers
• New flexible for low volume roads,
consisting of unbound or new cement
stabilized granular materials
• New flexible and semi-flexible heavy duty
pavements for severe loading conditions
Data required:
• Type and volume of commercial vehicles
• Design life
• Sub-grade type and strength
• Type and properties of paving materials
• Environment which pavement will be
exposed to
Criteria
Traffic
• Data
– Number of commercial vehicles during Year 1
of Design Period, which is the expected year
of completion of construction.
– Vehicle class and axle load distribution.
– Directional and lane distribution factors.
– Traffic growth factors.
Design Procedure1. From traffic count , determine:
– ADT (3 days, 24 hours per day. If traffic count covers
time period of 0600 to 2200 hours, multiply the count
with 1.2)
– % PCV with un-laden weight > 1.5 tons (PCV) and
break down into vehicle categories.
– Traffic Growth factor (r) for CV
2. From geometric design – number of lanes and terrain
condition
Number of lanes (in ONE
direction)
Lane distribution factor, L
One 1.0
Two 0.9
Three or more 0.7
Type of Terrain Terrain factor, T
Flat 1.0
Rolling 1.1
Mountainous/steep 1.3
3. Design period
• 10 years for low volume and rural road.
• 20 years for high volume and urban road
4. Design traffic (1st year of design period)
ESALY1 = ADT x 365 x PCV x LEF (3.7) x L x T
ESALY1 = number of ESALs for base year (design lane)
ADT = Average Daily Traffic
PCV = Percentage of CV (un-laden weight > 1.5 tons)
VLF = Vehicle Load Equivalent Factor (including Tire Factor)
L = Lane Distribution Factor
T = Terrain Factor
If traffic distribution by vehicle type is available:
ESALY1 = [ADTcv1 x LEFcv1 + ADTcv2 x LEFcv2 +…+
ADTcv3 x LEFcv3] x 365 x L x T
5. Design Traffic (Number of ESALs) for the Design Period
ESALDES = ESALY1 x [(1 + r)n – 1)]/r
ESALDES = design traffic for the design lane in one direction
r = annual traffic growth rate factor for design period
n = number of years in design period
OR
Design Traffic ESALDES = ESALY1 x TGF
Total Growth Factor (TGF)
6. Decide traffic category
Normal distribution with single tailed analysis, the following normal
deviate values shall apply:
• 60% Probablility: Mean – 0.253 x STD
•70% Probablility: Mean – 0.525 x STD
• 85% Probablility: Mean – 1.000 x STD
•statistical analysis shall be used to evaluate laboratory or field test
results for use as input for pavement design (sub-grade, sub-base,
road base and bituminous courses)
7. SG categories
• Min 5% CBR for T1- T3
• If not, at least 0.3 meter of SG shall be
replaced or stabilized to ensure the minimum
value is met.
• Large volume traffic T4 and T5, min CBR 12%
8. Get T and S, choose from catalogue
• Mechanistic Design using Elastic Layer Programs
• Asphalt Institute SW-1 (based on Manuals MS-1; MS-11;
MS-17; MS-23)
• Pavement Design: A Guide to the Structural Design of Road
Pavements, STANDARDS AUSTRALIA and AUSTROADS,
2004, in conjunction with CIRCLY Version 5.0
• SHELL SPDM Version 3.0
• Pavement Design and Analysis by Yang H. Huang, Second
Edition, 2003 in conjunction with KENLAYER
• Layer Elastic Theory using RUBICON TOOLBOX Version
2.9.8.
• 3 types of pavement : – Conventional flexible pavement with granular base.
– Deep-strength flexible (composite) pavement with
bituminous surface course(s) and a base stabilized
with Portland cement, bituminous emulsion, or a
combination of both.
– Full-depth asphalt pavement with bituminous base
course
T1 : < 1 million ESALs
T2 : 1- 2 million ESALs
T3: 2 -10 million ESALs
T4 : 10 – 30 million ESALs
T5 : > 30 million ESALs
T5 : > 30 million ESALs
( Polymer Modified Asphalt)
Conceptual outline of Pavement Structure
Properties of Paving Materials• Bituminous Wearing and Binder Courses
• Bituminous Road base
– similar to binder and wearing course except a lower
temperature used for this layer
• Crushed Aggregate and Wet Mix Road Base
– Performance -> shear strength, stiffness and by
material breakdown that may occur during
construction and heavy traffic
– similar composition but construction practices are
different
– Min CBR 80%, elastic modulus 350±100 Mpa
• Stabilized Road base
– In situ or Plant
– 2 types:
• STB 1 . Aggregates stabilised primarily with
cement or lime . 3% to 5% Portland cement.
E = 1800 MPa; v = 0.40
• STB 2. Aggregates stabilised primarily with a
bituminous emulsion/foamed bitumen +
cementitious. Bituminous emulsion or foamed
bitumen and a maximum of 2% Portland cement.
E= 1200 MPa; v 0.35
Other options for Low Volume Roads
Example 1
• Traffic count data: ADT 2700 vehicles
both directions (24 hour period)
• PCV: 16% ( no detailed break down by
vehicle type)
• Terain : rolling
• Design life: 20 years
• Annual traffic growth: 4%
• CBR mean =18.5% , standard deviation=
4.4%, 85% probability
Example 2
• Design a road pavement for a 4-lane freeway (concession toll-road)
with an average daily traffic of 7286 vehicles, of which 20% are
commercial vehicles with an un-laden weight > 1.5 tons
CV 1 = 624
CV 2 = 456
CV 3 = 316
CV 4 = 102