A probabilistic method to predict fatigue crack initiation

Salil S. Kulkarni; L. Sun; B. Moran; S. Krishnaswamy; J. D. Achenbach

doi:10.1007/s10704-005-3074-0

A probabilistic method to predict fatigue crack initiation

Salil S. Kulkarni^*, L. Sun, B. Moran, S. Krishnaswamy, J. D. Achenbach

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

A probabilistic method to predict macrocrack initiation due to fatigue damage is presented in this paper. Acoustic non-linearity is used to quantify pre-macrocrack initiation damage. This data is then used in a probabilistic analysis of fatigue damage. The probabilistic fatigue damage analysis consists of a suitably chosen damage evolution equation to model accumulated damage coupled with a procedure to calculate the probability of macrocrack initiation. The probability of macrocrack initiation is evaluated using the Monte Carlo Method with Importance Sampling. Numerical results for the probabilistic assessment of fatigue damage for a sample problem are presented and compared with experimental results.

Original language	English (US)
Pages (from-to)	9-17
Number of pages	9
Journal	International Journal of Fracture
Volume	137
Issue number	1-4
DOIs	https://doi.org/10.1007/s10704-005-3074-0
State	Published - Jan 2006
Externally published	Yes

Keywords

Acoustic non-linearity
Crack initiation
Damage evolution
Fatigue
Probabilistic method
Structural health monitoring

ASJC Scopus subject areas

Computational Mechanics
Modeling and Simulation
Mechanics of Materials

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10.1007/s10704-005-3074-0

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title = "A probabilistic method to predict fatigue crack initiation",

abstract = "A probabilistic method to predict macrocrack initiation due to fatigue damage is presented in this paper. Acoustic non-linearity is used to quantify pre-macrocrack initiation damage. This data is then used in a probabilistic analysis of fatigue damage. The probabilistic fatigue damage analysis consists of a suitably chosen damage evolution equation to model accumulated damage coupled with a procedure to calculate the probability of macrocrack initiation. The probability of macrocrack initiation is evaluated using the Monte Carlo Method with Importance Sampling. Numerical results for the probabilistic assessment of fatigue damage for a sample problem are presented and compared with experimental results.",

keywords = "Acoustic non-linearity, Crack initiation, Damage evolution, Fatigue, Probabilistic method, Structural health monitoring",

author = "Kulkarni, {Salil S.} and L. Sun and B. Moran and S. Krishnaswamy and Achenbach, {J. D.}",

note = "Funding Information: This work was supported by the Federal Aviation Administration, Rotorcraft Structural Integrity and Safety, under Award AGMT: 01-C-AW-NWU/A04 to the Center for Quality Engineering and Failure Prevention at Northwestern University. Helpful discussions with Prof. M. E. Fine are gratefully acknowledged.",

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doi = "10.1007/s10704-005-3074-0",

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AU - Kulkarni, Salil S.

AU - Sun, L.

AU - Moran, B.

AU - Krishnaswamy, S.

AU - Achenbach, J. D.

N1 - Funding Information: This work was supported by the Federal Aviation Administration, Rotorcraft Structural Integrity and Safety, under Award AGMT: 01-C-AW-NWU/A04 to the Center for Quality Engineering and Failure Prevention at Northwestern University. Helpful discussions with Prof. M. E. Fine are gratefully acknowledged.

PY - 2006/1

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N2 - A probabilistic method to predict macrocrack initiation due to fatigue damage is presented in this paper. Acoustic non-linearity is used to quantify pre-macrocrack initiation damage. This data is then used in a probabilistic analysis of fatigue damage. The probabilistic fatigue damage analysis consists of a suitably chosen damage evolution equation to model accumulated damage coupled with a procedure to calculate the probability of macrocrack initiation. The probability of macrocrack initiation is evaluated using the Monte Carlo Method with Importance Sampling. Numerical results for the probabilistic assessment of fatigue damage for a sample problem are presented and compared with experimental results.

AB - A probabilistic method to predict macrocrack initiation due to fatigue damage is presented in this paper. Acoustic non-linearity is used to quantify pre-macrocrack initiation damage. This data is then used in a probabilistic analysis of fatigue damage. The probabilistic fatigue damage analysis consists of a suitably chosen damage evolution equation to model accumulated damage coupled with a procedure to calculate the probability of macrocrack initiation. The probability of macrocrack initiation is evaluated using the Monte Carlo Method with Importance Sampling. Numerical results for the probabilistic assessment of fatigue damage for a sample problem are presented and compared with experimental results.

KW - Acoustic non-linearity

KW - Crack initiation

KW - Damage evolution

KW - Fatigue

KW - Probabilistic method

KW - Structural health monitoring

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JF - International Journal of Fracture

IS - 1-4

ER -

A probabilistic method to predict fatigue crack initiation

Abstract

Keywords

ASJC Scopus subject areas

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