Probabilistic fatigue life prediction of composite materials

Yongming Liu, S. Mahadevan

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

This chapter discusses the use of probabilistic models to describe the fatigue behavior of composite materials and to quantify the uncertainties in fatigue life prediction. The chapter first reviews existing methods for probabilistic fatigue life prediction and then discusses how to quantify the uncertainties in applied loading and material properties. Following this, a random process approach using the Karhunen-Loeve expansion technique is discussed to quantify the input uncertainties as well as their correlations. Probabilistic methods are presented to solve the time-dependent reliability problem. The probabilistic life prediction method is demonstrated under variable amplitude loading for several example problems.

Original languageEnglish (US)
Title of host publicationFatigue Life Prediction of Composites and Composite Structures
PublisherElsevier Inc.
Pages220-248
Number of pages29
ISBN (Print)9781845695255
DOIs
Publication statusPublished - Jul 2010
Externally publishedYes

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Keywords

  • Composite materials
  • Fatigue
  • Life prediction
  • Probabilistic method
  • Reliability
  • Variable amplitude loading

ASJC Scopus subject areas

  • Materials Science(all)

Cite this

Liu, Y., & Mahadevan, S. (2010). Probabilistic fatigue life prediction of composite materials. In Fatigue Life Prediction of Composites and Composite Structures (pp. 220-248). Elsevier Inc.. https://doi.org/10.1533/9781845699796.2.220