Bayesian inference model for fatigue life of laminated composites

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A probabilistic model for estimating the fatigue life of laminated composite plates is developed. The model is based on lamina-level input data, making it possible to predict fatigue properties for a wide range of laminate configurations. Model parameters are estimated by Bayesian inference. The reference data used consists of constant-amplitude cycle test results for four laminates with different layup configurations. The paper describes the modeling techniques and the parameter estimation procedure, supported by an illustrative application.
Original languageEnglish
JournalJournal of Composite Materials
Issue number2
Pages (from-to)131-143
Publication statusPublished - 2016


  • Probabilistic
  • Fatigue
  • Bayesian
  • Laminates
  • Composite


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