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Journal article

Bayesian inference model for fatigue life of laminated composites

From

Department of Wind Energy, Technical University of Denmark1

Wind Turbines, Department of Wind Energy, Technical University of Denmark2

University of California at Berkeley3

Department of Mechanical Engineering, Technical University of Denmark4

Solid Mechanics, Department of Mechanical Engineering, Technical University of Denmark5

Villum Center for Advanced Structural and Material Testing, Centers, Technical University of Denmark6

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.

Language: English
Publisher: SAGE Publications
Year: 2016
Pages: 131-143
ISSN: 1530793x and 00219983
Types: Journal article
DOI: 10.1177/0021998315571772
ORCIDs: Dimitrov, Nikolay Krasimirov and Berggreen, Christian

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