Efficient probabilistic methods for real-time fatigue damage prognosis

Yibing Xiang, Yongming Liu

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

10 Scopus citations

Abstract

A general probabilistic fatigue crack growth prediction methodology for accurate and efficient damage prognosis is proposed in this paper. This methodology consists two major parts. First, the realistic random loading is transformed to an equivalent constant amplitude loading process based on a recently developed mechanism model. This transformation avoids the cycle-by-cycle calculation of fatigue crack growth under variable amplitude loading. Following this, an inverse first-order reliability method (IFORM) is used to evaluate the fatigue crack growth at an arbitrary reliability level. Inverse FORM method does not require a large number of function evaluations compared to the direct Monte Carlo simulation. Computational cost is significantly reduced and the proposed method is very suitable for real-time damage prognosis. Numerical examples are used to demonstrate the proposed method. Various experimental data under variable amplitude loading are collected and model predictions are compared with experimental data for model validation.

Original languageEnglish (US)
Title of host publicationAnnual Conference of the Prognostics and Health Management Society, PHM 2010
PublisherPrognostics and Health Management Society
ISBN (Electronic)9781936263011
StatePublished - Jan 1 2010
Externally publishedYes
EventAnnual Conference of the Prognostics and Health Management Society, PHM 2010 - Portland, United States
Duration: Oct 13 2010Oct 16 2010

Publication series

NameAnnual Conference of the Prognostics and Health Management Society, PHM 2010

Other

OtherAnnual Conference of the Prognostics and Health Management Society, PHM 2010
CountryUnited States
CityPortland
Period10/13/1010/16/10

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Health Information Management
  • Computer Science Applications
  • Software

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  • Cite this

    Xiang, Y., & Liu, Y. (2010). Efficient probabilistic methods for real-time fatigue damage prognosis. In Annual Conference of the Prognostics and Health Management Society, PHM 2010 (Annual Conference of the Prognostics and Health Management Society, PHM 2010). Prognostics and Health Management Society.