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
CountryUnited Kingdom
CityLiverpool
Period13/07/201416/07/2014
Internet address

Fingerprint Dive into the research topics of 'Probabilistic Modelling of Fatigue Life of Composite Laminates Using Bayesian Inference'. Together they form a unique fingerprint.

Cite this