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Lookup NU author(s): Professor Peter Gosling
This is the authors' accepted manuscript of an article that has been published in its final definitive form by Elsevier, 2019.
For re-use rights please refer to the publisher's terms and conditions.
© 2019 Elsevier Ltd A robust design optimization algorithm is proposed for variable angle tow composite structures in the presence of uncertainties in the constituent material properties and applied loads. The proposed algorithm uses a stochastic perturbation method to propagate these uncertainties through to the simulated structural response, measured in terms of buckling load. The expected value plus a selected number of standard deviations of the response in the form of a bi-criteria problem. To describe the curvilinear fibres, two types of fibre path function, namely linear- and nonlinear-variation formulae, are adopted to illustrate the proposed methodology. A comparison between the resulting robust designs and deterministic designs is made, and changes to the final designs of fibre tow paths arising from the inclusion of uncertainty are discussed. It is shown that the robust designs out-perform the deterministic designs under real-world situations that include uncertainties.
Author(s): Zhou X-Y, Ruan X, Gosling PD
Publication type: Article
Publication status: Published
Journal: Composite Structures
Online publication date: 13/05/2019
Acceptance date: 10/05/2019
Date deposited: 19/06/2019
ISSN (print): 0263-8223
ISSN (electronic): 1879-1085
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