Exploiting the benefits of multi-scale analysis in reliability analysis for composite structures

Zhou, X.-Y., Gosling, P.D., Ullah, Z., Kaczmarczyk, Ł. and Pearce, C.J. (2016) Exploiting the benefits of multi-scale analysis in reliability analysis for composite structures. Composite Structures, 155, pp. 197-212. (doi:10.1016/j.compstruct.2016.08.015)

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Abstract

This paper investigates two critical issues, namely propagation of multi-scale uncertainty, and selection of failure criteria, related to reliability analysis of composites by using multi-scale methods. Due to the multi-scale architecture of composites, uncertainties exist in both microscale and macroscale parameters. It is necessary, therefore, to consider random variables at various length scales to ensure accurate estimates of the reliability of composites. Three types of homogenization methods, namely rule of mixtures, Mori–Tanaka and computational homogenization, are adopted to link these two scales, and to propagate uncertainty from micro to macro scales. By integrating these homogenization methods with the stochastic finite element method and structural reliability methods, the reliability of composites can be investigated with a limit state function based on a chosen failure criterion. This multi-scale reliability analysis procedure has been applied to analyse laminated fibre reinforced composites made of AS4/3501 carbon/epoxy. Firstly, a comparative study has been conducted to evaluate the performance of the assumed homogenization methods for the reliability of composites, and to identify advantages compared with a single scale analysis. The results show that multi-scale analysis can provide more accurate reliability estimates. Secondly, several popularly used failure criteria for composites have been compared using multi-scale reliability analysis.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ullah, Dr Zahur and Kaczmarczyk, Dr Lukasz and Pearce, Professor Christopher
Authors: Zhou, X.-Y., Gosling, P.D., Ullah, Z., Kaczmarczyk, Ł., and Pearce, C.J.
College/School:College of Science and Engineering > School of Engineering > Infrastructure and Environment
Journal Name:Composite Structures
Publisher:Elsevier
ISSN:0263-8223
Published Online:09 August 2016
Copyright Holders:Copyright © 2016 The Authors
First Published:First published in Composite Structures 155: 197-212
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
618241Providing Confidence in Durable Composites (DURACOMP)Christopher PearceEngineering & Physical Sciences Research Council (EPSRC)EP/K026925/1ENG - ENGINEERING INFRASTRUCTURE & ENVIR