Stochastic modeling of fatigue crack propagation

Asok Ray, Sekhar Tangirala

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


This paper presents a stochastic model of fatigue-induced crack propagation in metallic materials. The crack growth rate predicted by the model is guaranteed to be non-negative. The model structure is built upon the underlying principle of Karhunen-Loeve expansion and does not require solutions of stochastic differential equations in either Wiener integral or Ito integral setting. As such this crack propagation model can be readily adapted to damage monitoring and remaining life prediction of stressed structures. The model results have been verified by comparison with experimental data of time-dependent fatigue crack statistics for 2024-T3 and 7075-T6 Aluminum alloys.

Original languageEnglish (US)
Pages (from-to)425-429
Number of pages5
JournalProceedings of the American Control Conference
StatePublished - 1997
EventProceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA
Duration: Jun 4 1997Jun 6 1997

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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