Stochastic modeling of fatigue crack dynamics for risk analysis and remaining life prediction

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    3 Scopus citations

    Abstract

    This paper presents a stochastic dynamic model of fatigue crack propagation in metallic materials which are commonly encountered in mechanical structures and machine components of complex systems (e.g., aircraft, spacecraft, and power plants). The (non-stationary) statistics of the crack growth process are obtained without solving stochastic differential equations in the Wiener integral or Itô integral setting. The crack propagation model thus allows real-time execution of decision algorithms for risk assessment and life prediction on inexpensive platforms such as a Pentium processor. The model predictions are in close agreement with experimental data of fatigue crack statistics for 2024-T3 and 7075-T6 aluminum alloys.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 1998 American Control Conference, ACC 1998
    Pages2591-2595
    Number of pages5
    Volume4
    DOIs
    Publication statusPublished - 1998
    Event1998 American Control Conference, ACC 1998 - Philadelphia, PA, United States
    Duration: Jun 24 1998Jun 26 1998

    Other

    Other1998 American Control Conference, ACC 1998
    CountryUnited States
    CityPhiladelphia, PA
    Period6/24/986/26/98

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    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering

    Cite this

    Ray, A. (1998). Stochastic modeling of fatigue crack dynamics for risk analysis and remaining life prediction. In Proceedings of the 1998 American Control Conference, ACC 1998 (Vol. 4, pp. 2591-2595). [703103] https://doi.org/10.1109/ACC.1998.703103