Stochastic crack growth under variable loading for health monitoring and prognosis

Christina Willhauck, Subhasish Mohanty, Aditi Chattopadhyay, Pedro Peralta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper formulates a stochastic model of fatigue crack growth in ductile alloys under variable loading of the center wing type. This center wing loading has three different load ratios to depict the most demanding operating conditions. The cumulative distribution function of the crack length estimate is generated by numerically solving a stochastic differential equation describing the physics of the crack growth. The model parameters are obtained by analyzing each load span, and the variable model parameter is used in the corresponding load period. Simulations are used to show that the analytical crack exceedance probability follows the experimental data fairly well.

Original languageEnglish (US)
Title of host publicationModeling, Signal Processing, and Control for Smart Structures 2008
DOIs
StatePublished - 2008
EventModeling, Signal Processing, and Control for Smart Structures 2008 - San Diego, CA, United States
Duration: Mar 10 2008Mar 12 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6926
ISSN (Print)0277-786X

Other

OtherModeling, Signal Processing, and Control for Smart Structures 2008
CountryUnited States
CitySan Diego, CA
Period3/10/083/12/08

Keywords

  • Experimental data
  • Fatigue crack growth
  • Random process
  • Statistical analysis
  • Stochastic modeling
  • Variable loading

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Willhauck, C., Mohanty, S., Chattopadhyay, A., & Peralta, P. (2008). Stochastic crack growth under variable loading for health monitoring and prognosis. In Modeling, Signal Processing, and Control for Smart Structures 2008 [69260L] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6926). https://doi.org/10.1117/12.776476