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Thermal buckling optimization of variable angle tow fibre composite plates with gap/overlap free design

Lookup NU author(s): Professor Peter Gosling

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This is the authors' accepted manuscript of an article that has been published in its final definitive form by Elsevier Ltd, 2019.

For re-use rights please refer to the publisher's terms and conditions.


Abstract

© 2019 Elsevier Ltd Composite structures in a thermal environment may suffer from buckling failures due to thermally induced compressive forces, leading to concerns over their application in environmentally aggressive conditions. This issue is addressed by proposing a novel approach to the design of tow paths for enhancing thermal buckling performance, and it can also overcome the problems of tow gaps and overlapping. A level set function, such as defined by signed distance function, for representing a series of equidistant tows throughout the laminate, is adopted here to formulate an optimization problem that seeks to maximize the buckling load under thermal loading, and the level set values are thus the design variables. Sensitivities of thermal buckling eigenvalues with respect to tow paths, i.e. level set values, are derived through the adjoint method, and they are used to solve the optimization problem through the Hamilton-Jacobi equation. In this study, numerical examples are presented to demonstrate the effectiveness of the proposed method, where laminated plates made of various materials under different boundary conditions are considered. Results show that the proposed approach can provide efficient solutions with enhanced buckling performance.


Publication metadata

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

Publication type: Article

Publication status: Published

Journal: Composite Structures

Year: 2019

Volume: 223

Print publication date: 01/09/2019

Online publication date: 04/05/2019

Acceptance date: 02/05/2019

Date deposited: 19/06/2019

ISSN (print): prin-t

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.compstruct.2019.110932

DOI: 10.1016/j.compstruct.2019.110932


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Funding

Funder referenceFunder name
2018YFB1600100
51678435
51878495

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