• DocumentCode
    313699
  • Title

    Stochastic modeling of fatigue crack propagation

  • Author

    Ray, Asok ; Tangirala, Sekhar

  • Author_Institution
    Dept. of Mech. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    4-6 Jun 1997
  • Firstpage
    425
  • 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
  • Keywords
    aluminium alloys; copper alloys; crack-edge stress field analysis; fatigue cracks; magnesium alloys; modelling; stochastic processes; zinc alloys; Al-Cu-Mg; Al-Cu-Mg alloy; Al-Zn-Mg; Al-Zn-Mg alloy; Ito integral setting; Karhunen-Loeve expansion; Wiener integral; crack growth rate; crack propagation model; damage monitoring; fatigue-induced crack propagation; metallic materials; model structure; remaining life prediction; stochastic model; stressed structures; time-dependent fatigue crack statistics; Aluminum alloys; Differential equations; Fatigue; Indium tin oxide; Inorganic materials; Integral equations; Monitoring; Predictive models; Statistics; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1997. Proceedings of the 1997
  • Conference_Location
    Albuquerque, NM
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-3832-4
  • Type

    conf

  • DOI
    10.1109/ACC.1997.611833
  • Filename
    611833