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
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;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.611833
