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Influence of stochastic variations in manufacturing defects on the mechanical performance of textile composites

Lookup NU author(s): Professor Peter Gosling

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2018 Elsevier Ltd This paper presents a methodology to evaluate the effects of microscopic manufacturing defects, namely fibre misalignment, waviness and volume fraction, on the mechanical performance. Influences of these defects on the effective elastic properties of composites are quantified by a dual homogenization method. For estimating stochastic characteristics of the properties induced by the variations in these defects, a probabilistic extension of the dual homogenization method is developed and numerically implemented through a perturbation-based stochastic finite element method. It is further incorporated in a multiscale finite element based reliability method to measure the influences of these manufacturing defects on structural performance in terms of reliability. The effectiveness of the proposed method in capturing defects is illustrated initially by investigating the effective elastic properties of a unidirectional fibre composite based yarn and then a plain woven textile composite. The capability of the proposed method in quantifying the variations in these defects is further demonstrated through statistical analysis of the effective elastic properties and a woven textile composite and structural reliability analysis of a textile composite laminate. This paper represents a significant advancement in the probabilistic prediction of the behaviour of woven and non-woven composites.


Publication metadata

Author(s): Zhou X-Y, Gosling PD

Publication type: Article

Publication status: Published

Journal: Composite Structures

Year: 2018

Volume: 194

Pages: 226-239

Print publication date: 15/06/2018

Online publication date: 05/04/2018

Acceptance date: 02/04/2018

Date deposited: 11/06/2018

ISSN (print): 0263-8223

ISSN (electronic): 1879-1085

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.compstruct.2018.04.003

DOI: 10.1016/j.compstruct.2018.04.003


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