A probabilistic method to predict fatigue crack initiation

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 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 languageEnglish (US)
Pages (from-to)9-17
Number of pages9
JournalInternational Journal of Fracture
Volume137
Issue number1-4
DOIs
StatePublished - Jan 1 2006

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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