Stochastic modeling of fatigue crack propagation

Asok Ray, Sekhar Tangirala

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

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
Volume1
StatePublished - Jan 1 1997
EventProceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA
Duration: Jun 4 1997Jun 6 1997

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Fatigue crack propagation
Crack propagation
Stochastic models
Model structures
Aluminum alloys
Differential equations
Statistics
Fatigue of materials
Monitoring

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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title = "Stochastic modeling of fatigue crack propagation",
abstract = "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.",
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Stochastic modeling of fatigue crack propagation. / Ray, Asok; Tangirala, Sekhar.

In: Proceedings of the American Control Conference, Vol. 1, 01.01.1997, p. 425-429.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Stochastic modeling of fatigue crack propagation

AU - Ray, Asok

AU - Tangirala, Sekhar

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N2 - 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.

AB - 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.

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