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1 The Witness Sample Approach to Prognosis A. F. (Skip) Grandt School of Aeronautics and Astronautics Purdue University Currently USAF Academy Department of Engineering Mechanics AFOSR Workshop on Prognosis of Aircraft and Space Devices, Components, and Systems Cincinnati, OH, 19-20 February 2008

The Witness Sample Approach to Prognosis

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The Witness Sample Approach to Prognosis. A. F. (Skip) Grandt School of Aeronautics and Astronautics Purdue University Currently USAF Academy Department of Engineering Mechanics AFOSR Workshop on Prognosis of Aircraft and Space Devices, Components, and Systems - PowerPoint PPT Presentation

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Page 1: The Witness Sample Approach to Prognosis

1

The Witness Sample Approach to Prognosis

A. F. (Skip) GrandtSchool of Aeronautics and

AstronauticsPurdue University

Currently USAF Academy Department of Engineering Mechanics

AFOSR Workshop on Prognosis of Aircraft and Space Devices, Components, and Systems

Cincinnati, OH, 19-20 February 2008

Page 2: The Witness Sample Approach to Prognosis

2

OutlineObjective: Review simple technique to evaluate

structural usage in context of potential for fatigue/corrosion damage

Describe “serial number” tracking concept

Topics:Overview witness sample approachReview prior work

• Uniform thickness gages• Side-groove gages• Multiple gages

Summarize status/needs

Page 3: The Witness Sample Approach to Prognosis

3

AcknowledgementsColleagues: Joe Gallagher, Bob Crane, Noel Ashbaugh, Joe

Ori, Alon Dumanis-Modan, Matt GatesSponsors:• Air Force Materials Laboratory (~ 1976-79)• Air Force Institute of Technology (~1977)• Air Force Flight Dynamics Laboratory/University

of Dayton Research Institute (1980-82)• Air Force Office of Scientific Research (1995-97)

Page 4: The Witness Sample Approach to Prognosis

4

Objective and Approach• Mount cracked coupon (witness

sample) to structure• Monitor crack extension in sample• Interpret coupon crack growth as

potential for fatigue in parent structure

Adhesive

aS

Crack GageL

a

u

G

Structural Member

LT W

Ps

Ps Adhesive

aS

Crack GageL

a

u

G

Structural Member

LT W

Ps

Adhesive

aS

Crack GageL

a

u

G

Structural Member

LT W

Ps

Adhesive

aS

Crack GageL

a

u

G

Adhesive

aS

Crack GageL

a

u

G

Structural Member

LT W

Ps

Structural Member

LT W

Ps

LT W

Ps

Ps Gage Crack Length agStru

ctur

e Cr

ack

Leng

th a

sNow

Failure (structure)

Gage Crack Length agStru

ctur

e Cr

ack

Leng

th a

sNow

Gage Crack Length agStru

ctur

e Cr

ack

Leng

th a

s

Gage Crack Length agStru

ctur

e Cr

ack

Leng

th a

sNow

Failure (structure)

Page 5: The Witness Sample Approach to Prognosis

5

The Witness Sample Approach to Prognosis

or

“It Takes One to Know One!”

Page 6: The Witness Sample Approach to Prognosis

Witness Sample Overview• Crack gage is “analog computer” that

measures/evaluates severity of structural loading

• Growth of gage crack gives potential for structural crack growth

• Crack gage is a “prognosis sensor”

Structure crackGage Crack

Page 7: The Witness Sample Approach to Prognosis

7

Transfer Function(Relate gage/structure cracks)

• Gage crack and assumed structure crack growth are related

• Can “design” gage for desired response

• Material• Shape• Initial crack sizes• Ease of

measurement• Independent of load

history under certain conditions

Stru

ctur

e Cr

ack

Leng

th a

s

Gage Crack Length ag

Now

Failure (structure)

Page 8: The Witness Sample Approach to Prognosis

Why Witness Samples?• Simpler than current tracking methods

– Flight load recorders, accelerometers, . . – Expensive, extensive effort, complicated

• Witness sample advantages– Simple cracked coupon– Transfer functions determine potential for structural

crack growth– Can be “designed” for given response– Damage potential immediately quantified- Sensitive to same parameters as crack

- Load sequence- Environment

Page 9: The Witness Sample Approach to Prognosis

9

Time

App

lied

Stre

ss

Overload

Fig. 7.5

Fatigue Crack Retardation(Load Sequence Effect)

Note: Peak tensile load can increase life

Without Overload

With Overload

Cra

ck L

engt

h (a

)Elapsed Cycle (N)

Page 10: The Witness Sample Approach to Prognosis

10

Fig. 7.7

Fatigue Crack Retardation/Sequence(2024-T3 Al – Schijve)

s = 50 Mpa; mean = 80 Mpa; R = 55/105Mpa = 0.52 peak = +200/-40 MPa

Reference: Schijve, ASM V 19, 1996

Page 11: The Witness Sample Approach to Prognosis

11

Fatigue Nucleation Load Sequence Effects (Crews data)

230,000 reversals = life t

S

0 – 20 ksi

A.

Constant amplitude fatigue tests with 2024-T3 aluminum plates with open holes

2 in dia

12 in

S

S

Page 12: The Witness Sample Approach to Prognosis

12

Example Load Sequence Effects: Crews data

Note: sequence changed life from 126,000 to 920,000

reversals

126,000 reversals

20 reversals

t

S +/- 40 ksi0 – 20 ksiB.

change

230,000 reversals t

S0 – 20 ksi

A.

19 reversals

920,000 reversalst

S +/- 40 ksi0 – 20 ksi

C.

change

Page 13: The Witness Sample Approach to Prognosis

13

Load Sequence is ImportantNote:• Order in which loads are applied can

have tremendous influence on fatigue life

• Introduces mean stresses that can be tensile or positive

• Most pronounced for spectra with many small loads and a few large loads

• Sequence effect must be accounted for on prognosis data – complicates traditional load monitoring schemes

Page 14: The Witness Sample Approach to Prognosis

Crack Gage Theory

• Structural and gage cracks see same number of cycles N

• Assume: • da/dN = F(K)

s

Adhesive

P

aS

Crack GageL

Member

a

u

G

Structural

LT W

Ps

s

Adhesive

P

aS

Crack GageL

Member

a

u

G

Adhesive

P

aS

Crack GageL

Member

a

u

G

Structural

LT W

Ps

Structural

LT W

Ps

LT W

Ps

N = daF

daFs g

aa

aa

igg

iss

( ) ( )K K

Page 15: The Witness Sample Approach to Prognosis

Theory ContinuedAssume power law for crack growth

Assume gage/structure stress related(a)a=K where

F(K)KCdNda m

g= fs (f depends on geometry, attachment, etc.)

s

is

g

ig gs

a

a

a

a mgsg

msss )af(C

da)a(C

da

Page 16: The Witness Sample Approach to Prognosis

Theory Concluded If structure Paris exponent, ms, equals

the gage exponent, mg = m

• Solve for as versus ag

• Relation depends on f, ai’s, ’s, materials . . .• But independent of Stress!!

daC a

daC f as s

mg g

ma

a

a

a

ig

g

is

s

( ) ( )

Page 17: The Witness Sample Approach to Prognosis

17

Uniform Thickness Gages(with J. A. Ori and N. E. Ashbaugh)

Gages: • edge or center cracks• 2024-T3, 2219-T851, 7075-T6• 0.03 inch thick• 1.5, 2 inch length (unbond)

Structure: • Cracked hole• 2219-T851 • 0.24 or 0.525 inch

thick

Structure crackGage Crack

Page 18: The Witness Sample Approach to Prognosis

18

Edge-Crack Gage Results(Crack Length vs Cycles)

• Constant amplitude stress• 10.5 ksi• 13.3 ksi

• Crack growth depends on stress

Ref: J. A. Ori & A. F. Grandt, ASTM 1979

Gage Cracks StructureCracks

Page 19: The Witness Sample Approach to Prognosis

19

Edge-Crack Gage Results(Transfer Function)

• Plot structure vs gage crack length

• Independent of stress

• Agrees with model

Page 20: The Witness Sample Approach to Prognosis

20

Center-Crack GageDesign Parameters

Transfer function depends on:

• Initial crack sizes• Gage/structure material• Unbond length• Gage geometry

• Thickness, width• Crack configuration

• Potential to “design” gage for desired response

Ref: N. E. Ashbaugh & A. F. Grandt, ASTM 1979

Page 21: The Witness Sample Approach to Prognosis

21

Side-Grooved Crack Gage(A. Dumanis-Modan and M. Gates)

Goal:• Promote plane strain

in thin crack gage Similar fatigue crack

retardation in thin gage and thick structure

• Gage provides better estimate of structural crack growth

Crack

Page 22: The Witness Sample Approach to Prognosis

Side-Grooved Gage Results ( A. Dumanis-Modan)

Found that “deep double side-grooved” gages resulted in repeatable gage behavior, and fatigue retardation consistent with thick structure

2.0"

0.125"

0.031"

0.375

"4.1

"

Adhesive

0.187

5 "B/BN = 4.0

Page 23: The Witness Sample Approach to Prognosis

23

Side-Grooves Promote “Thick Section” Crack Growth

• 7075-T6 alloy• 2.0 overload

ratio• 0.63 mm

thickness• Uniform• Side-groove

Ref: J. P. Hess, A. Grandt, and A. Dumanis, IJFEMS, 1983 Thousands of Cycles

Crac

k le

ngth

(m

m)

Page 24: The Witness Sample Approach to Prognosis

Side-Grooved Gage Results (Alon Dumanis-Modan)

• 17 tests with side-grooved gages

• 9 load histories• Constant amplitude (R = -0.1, 0.1, 0.3)• 50% overload (R = - 0.1, 0.1, 0.3)• Variable amplitude T-38

spectrum – mild – Baseline– severe)

Ref: Dumanis-Modan & Grandt, EFM 1987

Page 25: The Witness Sample Approach to Prognosis

25

Side-Groove Gage Results• Scatter in data

• Associated with initial crack lengths

• Inherent to fatigue crack growth

• Load independent model gives reasonable prediction

• Curve “too steep”• “Gage crack grows

too slow”

Page 26: The Witness Sample Approach to Prognosis

26

Side-Grooved Gage 2 (Matt Gates)

Objective: Improve side-groove gage• Decrease slope of transfer function

• Make gage crack grow faster than structural crack

• Increase unbond length• Reduce scatter in fatigue lives

• Tighten tolerances in gage dimensions• Relieve side-groove residual stresses

Ref. M. D. Gates & A. F. Grandt, Jr., SEM 1997

Page 27: The Witness Sample Approach to Prognosis

27

Results: Side-Groove Gage 2

• Gage response made more sensitive by increasing length (unbond) of gage• Gage growth rate 12 x structure

crack growth rate• Machining of side-grooves can

introduce residual stresses >> inconsistent behavior• Stress relieve of gages potential

solution, but must be done carefully

Page 28: The Witness Sample Approach to Prognosis

Side-Groove Gage Transfer Function (note scale difference)

0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

0.16

0.18

0.2

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2

Gage Crack Length (in)

Stru

ctur

e C

rack

Len

gth

(in)

E060E073E080E072

Struc

ture

cra

ck a

s(in

ch)

Gage crack ag (inch)

0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

0.16

0.18

0.2

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2

Gage Crack Length (in)

Stru

ctur

e C

rack

Len

gth

(in)

E060E073E080E072

Struc

ture

cra

ck a

s(in

ch)

0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

0.16

0.18

0.2

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2

Gage Crack Length (in)

Stru

ctur

e C

rack

Len

gth

(in)

E060E073E080E072

Struc

ture

cra

ck a

s(in

ch)

Gage crack ag (inch)

4 constant amplitude

fatigue tests

2.0

0.2

0.0

Page 29: The Witness Sample Approach to Prognosis

Experiment Vs. Predictive Model

0

0.05

0.1

0.15

0.2

0.25

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2

Gage Crack Length (in)

Stru

ctur

e Cr

ack

Leng

th (i

n)

E060

E073

E080

E072

Prediction E060

Prediction E073

Prediction E080

Prediction E072

Gage crack ag (inch)

Stru

ctur

e cr

ack

a s

(inc

h)

Page 30: The Witness Sample Approach to Prognosis

30

Multiple Gages Describe load dependent transfer function

Page 31: The Witness Sample Approach to Prognosis

31

Multiple Gages

Concept: • Second crack gage provides

additional information• Allows one to determine “effective”

stress• Allows more sophisticated fatigue

crack growth models• Model not limited to Paris equation• Does involve more detailed analysis

Page 32: The Witness Sample Approach to Prognosis

32

Double-Gage Theory

g

ig

a

ag )K(Fda=N Gage 1

g

ig

a

ag )K(Fda=N Gage 2

Compute “effective” stress

Compute structure crack

N = daF

daFs g

aa

aa

igg

iss

( ) ( )K K

Reference: A. Dumanis and A. F. Grandt, 15th ICAF, 1989

Page 33: The Witness Sample Approach to Prognosis

33

Summary: Current Status• Fundamental basis for gage

and structure crack relation• Experimentally verified

• Uniform thickness• Side-groove gage• Double gage

• “Design” gage for desired response s

Adhesive

P

a S

Crack GageL

Member

a

u

G

Structural

LT W

Ps

s

Adhesive

P

a S

Crack GageL

Member

a

u

G

Structural

LT W

Ps

s

Adhesive

P

a S

Crack GageL

Member

a

u

G

Adhesive

P

a S

Crack GageL

Member

a

u

G

Structural

LT W

Ps

Structural

LT W

Ps

LT W

Ps

Gage measures severity of structural loads (fatigue damage

potential)

Page 34: The Witness Sample Approach to Prognosis

34

Summary: Research Needs• Gage attachment

• Develop/evaluate attachment for long term performance

• Side-groove consistency • Control machining and/or stress relief

• “Tweak” design parameters• Remote measurement of gage crack length

• Develop/evaluate inspection method

Page 35: The Witness Sample Approach to Prognosis

35

Summary• Other potential prognosis applications

• Corrosion monitoring feasible• Potential for fatigue crack “nucleation”

and/or total life applications

• Key idea: actual damage (fatigue, corrosion, creep . . .) in redundant component can tell much about severity of parent structural usage

Page 36: The Witness Sample Approach to Prognosis

36

References J. P. Gallagher, A. F. Grandt, Jr., and R. L. Crane, “Tracking Crack Growth Damage in US Air

Force Aircraft,” Journal of Aircraft, Vol. 15, No. 7, July 1978, pp. 435-442.  N. E. Ashbaugh and A. F. Grandt, Jr., “Evaluation of a Crack-Growth Gage for Monitoring

Possible Structural Fatigue Crack Growth,” Service Fatigue Loads Monitoring, Simulation and Analysis, ASTM Special Technical Publication 671, pp. 94-117, 1979. Also published as AFML-TR-77-233, February 1978.

R. L. Crane, A. F. Grandt, Jr., and J. P. Gallagher,     "Assessment of Flaw Growth Potential in Structural Components," United States Patent No. 4,107,980, August 22, 1978.

J. A. Ori and A. F. Grandt, Jr., “Single-Edge-Cracked Crack Growth Gage,” Fracture Mechanics, ASTM Special Technical Publication 677, 533-549, 1979.

J. P. Hess, A. F. Grandt, Jr., and A. Dumanis, “Effects of Side-Grooves on Fatigue Crack Retardation,” International Journal of Fatigue of Engineering Materials and Structures, Vol. 6, No. 2, 1983, pp. 189-199.

Dumanis and A. F. Grandt, Jr., “Development of a Side-Grooved Crack Gage for Fleet Tracking of Fatigue Damage,” Engineering Fracture Mechanics, Vol. 26, No. 1, 1987, pp. 95-104.

A. Dumanis and A. F. Grandt, Jr., “Development of a Double Crack Growth Gage Algorithm for Application to Fleet Tracking of Fatigue Damage,” Proceedings International Committee on Aeronautical Fatigue 21st Conference, 15th Symposium, Jerusalem, Israel, June 1989.

M. D. Gates and A. F. Grandt, Jr., “Crack Gage Approach to Monitoring Fatigue Damage Potential in Aircraft,” 1997 Society for Experimental Mechanics Spring Conference on Experimental and Applied Mechanics, June 2-4, 1997, Bellevue, Washington (2 pages). Extended version of paper (7 double-column pages) also accepted for publication in the 1997 SEM Spring Post-conference Proceedings, 1998.

Page 37: The Witness Sample Approach to Prognosis

37

Page 38: The Witness Sample Approach to Prognosis

38

Page 39: The Witness Sample Approach to Prognosis

Crack Gage Overview• Crack gage is an “analog computer” that

measures/evaluates severity of structural loading

• Growth of gage crack gives potential for structural crack growth

• Crack gage is a “prognosis sensor”

Adhesive

a S

Crack GageL

a

u

G

Structural Member

LT W

Ps

Ps

Page 40: The Witness Sample Approach to Prognosis

40

U. S. Patent 4,107,980August 22, 1978

Page 41: The Witness Sample Approach to Prognosis

41

Page 42: The Witness Sample Approach to Prognosis

42Fig. 7.6

Fatigue Crack Retardation(7075-T6 aluminum)

max /min = 18.3/55.2 Mpa max = 99.3 Mpa 1/4001 cycle block

Reference: Bucci, EFM, v 12, No. 3, 1979

No overload

With overload

Page 43: The Witness Sample Approach to Prognosis

43

Alon Dumanis-ModanEvaluation of the Crack Gage as an Advanced Individual

Tracking Concept, Ph. D. Thesis, Purdue University, Dec. 1982

Page 44: The Witness Sample Approach to Prognosis

44

Matthew D. Gates A Crack Gage Approach to Monitoring Fatigue

Damage Potential in Aircraft, M.S. Thesis, Purdue University, May 1997.

Page 45: The Witness Sample Approach to Prognosis

45

Joseph A. OriExperimental Evaluation of a Single Edge Crack Crack

Growth Gage for Monitoring Aircraft Structures, M.S. Thesis, Air Force Institute of Technology, Dec 1977.

Page 46: The Witness Sample Approach to Prognosis

46

Side-Grooves Promote “Thick Section” Crack Retardation

Thou

sand

s of

del

ay c

ycle

s

Specimen Thickness BN (mm)

Page 47: The Witness Sample Approach to Prognosis

47Fig. 10.10

Fatigue Crack Retardation/Sequence(2024-T3 Al – Schijve)

s = 6.6 Mpa; mean = 8.2 Mpa; R = 4.9/11.5Mpa = 0.43 max = +19.2 MPa , min = -2.9 MPa

Reference: Broek

Page 48: The Witness Sample Approach to Prognosis

48

Load Sequence Effects

Hi-lo strain sequence results in compressive mean stress when last large peak is tension

increases life

t

t

Mean stress

Page 49: The Witness Sample Approach to Prognosis

49

Load Sequence Effects Hi-lo strain

sequence results in tensile mean stress when last large peak was compression as shown here

decreases life!

t

t

Mean stress

Page 50: The Witness Sample Approach to Prognosis

50

Num

ber o

f ex

ceed

ance

s/un

it tim

e

Load Factor n0

Schematic Exceedance Curve (Fig. 16.4)

• Gives the number of times given load factor exceeded in unit of time

• Does not show sequence or order of applied loads