Probabilistic fatigue life prediction of composite materials

Y. Liu, S. Mahadevan

Research output: Chapter in Book/Report/Conference proceedingChapter


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
Number of pages27
ISBN (Electronic)9780081025758
ISBN (Print)9780081025765
StatePublished - Jan 1 2020
Externally publishedYes


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

ASJC Scopus subject areas

  • Engineering(all)
  • Materials Science(all)


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