Bayesian inference model for fatigue life of laminated composites

Nikolay Krasimirov Dimitrov; Armen Der Kiureghian; Christian Berggreen

doi:10.1177/0021998315571772

Bayesian inference model for fatigue life of laminated composites

Nikolay Krasimirov Dimitrov, Armen Der Kiureghian, Christian Berggreen

Villum Center for Advanced Structural and Material Testing

University of California at Berkeley

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Abstract

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 language	English
Journal	Journal of Composite Materials
Volume	50
Issue number	2
Pages (from-to)	131-143
ISSN	0021-9983
DOIs	https://doi.org/10.1177/0021998315571772
Publication status	Published - 2016

Keywords

Probabilistic
Fatigue
Bayesian
Laminates
Composite

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title = "Bayesian inference model for fatigue life of laminated composites",

abstract = "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.",

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AU - Berggreen, Christian

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AB - 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.

KW - Probabilistic

KW - Fatigue

KW - Bayesian

KW - Laminates

KW - Composite

U2 - 10.1177/0021998315571772

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Bayesian inference model for fatigue life of laminated composites

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