Stochastic multi-scale finite element based reliability analysis for laminated composite structures

Zhou, X.-Y., Gosling, P.D., Ullah, Z., Kaczmarczyk, L. and Pearce, C.J. (2017) Stochastic multi-scale finite element based reliability analysis for laminated composite structures. Applied Mathematical Modelling, 45, pp. 457-473. (doi:10.1016/j.apm.2016.12.005)

Zhou, X.-Y., Gosling, P.D., Ullah, Z., Kaczmarczyk, L. and Pearce, C.J. (2017) Stochastic multi-scale finite element based reliability analysis for laminated composite structures. Applied Mathematical Modelling, 45, pp. 457-473. (doi:10.1016/j.apm.2016.12.005)

[img]
Preview
Text
133012.pdf - Published Version
Available under License Creative Commons Attribution.

937kB

Abstract

This paper proposes a novel multi-scale approach for the reliability analysis of composite structures that accounts for both microscopic and macroscopic uncertainties, such as constituent material properties and ply angle. The stochastic structural responses, which establish the relationship between structural responses and random variables, are achieved using a stochastic multi-scale finite element method, which integrates computational homogenisation with the stochastic finite element method. This is further combined with the first- and second-order reliability methods to create a unique reliability analysis framework. To assess this approach, the deterministic computational homogenisation method is combined with the Monte Carlo method as an alternative reliability method. Numerical examples are used to demonstrate the capability of the proposed method in measuring the safety of composite structures. The paper shows that it provides estimates very close to those from Monte Carlo method, but is significantly more efficient in terms of computational time. It is advocated that this new method can be a fundamental element in the development of stochastic multi-scale design methods for composite structures.

Item Type:Articles (Other)
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Kaczmarczyk, Dr Lukasz and Ullah, Dr Zahur and Pearce, Professor Christopher
Authors: Zhou, X.-Y., Gosling, P.D., Ullah, Z., Kaczmarczyk, L., and Pearce, C.J.
College/School:College of Science and Engineering > School of Engineering > Infrastructure and Environment
Journal Name:Applied Mathematical Modelling
Publisher:Elsevier
ISSN:0307-904X
ISSN (Online):0307-904X
Published Online:05 January 2017
Copyright Holders:Copyright © 2017 The Authors
First Published:First published in Applied Mathematical Modelling 45:457-473
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record

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