Stochastic fatigue damage modeling under variable amplitude loading

Yongming Liu, Sankaran Mahadevan

Research output: Contribution to journalArticlepeer-review

105 Scopus citations

Abstract

A general methodology for stochastic fatigue life prediction under variable amplitude loading is proposed in this paper. The methodology combines a nonlinear fatigue damage accumulation rule and a stochastic S-N curve representation technique to achieve this objective. The nonlinear damage accumulation rule proposed in this paper improves the deficiencies inherent in the linear damage accumulation rule and still maintains its simplicity in the application. The covariance structure of the stochastic damage accumulation process under variable amplitude loading is included into the methodology by a new stochastic S-N curve approach. A wide range of fatigue data available in the literature is used to validate the proposed methodology, which covers different type of metallic materials under constant and variable amplitude loadings. The prediction results are also compared with existing fatigue models.

Original languageEnglish (US)
Pages (from-to)1149-1161
Number of pages13
JournalInternational Journal of Fatigue
Volume29
Issue number6
DOIs
StatePublished - Jun 2007
Externally publishedYes

Keywords

  • Damage accumulation
  • Fatigue
  • Stochastic
  • Variable loading

ASJC Scopus subject areas

  • Modeling and Simulation
  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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