Probabilistic Modelling of Fatigue Life of Composite Laminates Using Bayesian Inference

Nikolay Krasimirov Dimitrov, Armen Der Kiureghian

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    A probabilistic model for estimating the fatigue life of laminated composite plates subjected to constant-amplitude or variable-amplitude loading 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 fatigue test results for a multi-directional laminate subjected to seven different load ratios. The paper describes the modelling techniques and the parameter estimation procedure, supported by an illustrative application and result assessment.
    Original languageEnglish
    Title of host publicationVulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management
    EditorsMichael Beer, Siu-Kui Au, Jim W. Hall
    PublisherAmerican Society of Civil Engineers
    Publication date2014
    Pages2586-2597
    ISBN (Print)978-0-7844-1360-9
    DOIs
    Publication statusPublished - 2014
    Event2nd International Conference on Vulnerability and Risk Analysis and Management International Symposium (ICVRAM 2014): And 6th International Symposium on Uncertainty Modelling and Analysis (ISUMA 2014) - University of Liverpool, Liverpool, United Kingdom
    Duration: 13 Jul 201416 Jul 2014
    Conference number: 2/6
    http://www.icvram2014.org/

    Conference

    Conference2nd International Conference on Vulnerability and Risk Analysis and Management International Symposium (ICVRAM 2014)
    Number2/6
    LocationUniversity of Liverpool
    Country/TerritoryUnited Kingdom
    CityLiverpool
    Period13/07/201416/07/2014
    Internet address

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