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Optimal design of triaxial weave fabric composites under tension

Optimal design of triaxial weave fabric composites under tension
Optimal design of triaxial weave fabric composites under tension
Triaxial weave fabrics are increasingly used in ultralight structures, such as the wings of unmanned aerial vehicles (UAVs) and deployable antenna on spacecraft. The tensile strength to stiffness ratio for these applications is important, requiring an optimal weave pattern; in this paper Genetic Algorithms are used to improve these designs. The mechanical response is obtained using the minimum total complementary potential energy principle where the yarns are approximated as curved beams in a micromechanical unit cell. Leading Genetic Algorithms are benchmarked to determine which perform best. The results form a disconnected Pareto front where the left hand part can be used for flexible structures but is difficult to find. An overall improvement in strength to stiffness ratio of 1191% is made with 643 designs found better than a current example. The selection of the Genetic Algorithm is shown to be crucial with only MLSGA-NSGAII regularly finding the entire Pareto front.
0263-8223
616-624
Wang, Zhenzhou
29dd1956-ff16-4c8e-ba23-b8c955a269e1
Bai, J.
823a05e0-144e-4dad-97f3-f8d942141e6c
Sobey, Adam
e850606f-aa79-4c99-8682-2cfffda3cd28
Xiong, J.
eb862b45-ef55-4fa7-901d-787c342d809f
Shenoi, Ramanand
a37b4e0a-06f1-425f-966d-71e6fa299960
Wang, Zhenzhou
29dd1956-ff16-4c8e-ba23-b8c955a269e1
Bai, J.
823a05e0-144e-4dad-97f3-f8d942141e6c
Sobey, Adam
e850606f-aa79-4c99-8682-2cfffda3cd28
Xiong, J.
eb862b45-ef55-4fa7-901d-787c342d809f
Shenoi, Ramanand
a37b4e0a-06f1-425f-966d-71e6fa299960

Wang, Zhenzhou, Bai, J., Sobey, Adam, Xiong, J. and Shenoi, Ramanand (2018) Optimal design of triaxial weave fabric composites under tension. Composite Structures, 201, 616-624. (doi:10.1016/j.compstruct.2018.06.090).

Record type: Article

Abstract

Triaxial weave fabrics are increasingly used in ultralight structures, such as the wings of unmanned aerial vehicles (UAVs) and deployable antenna on spacecraft. The tensile strength to stiffness ratio for these applications is important, requiring an optimal weave pattern; in this paper Genetic Algorithms are used to improve these designs. The mechanical response is obtained using the minimum total complementary potential energy principle where the yarns are approximated as curved beams in a micromechanical unit cell. Leading Genetic Algorithms are benchmarked to determine which perform best. The results form a disconnected Pareto front where the left hand part can be used for flexible structures but is difficult to find. An overall improvement in strength to stiffness ratio of 1191% is made with 643 designs found better than a current example. The selection of the Genetic Algorithm is shown to be crucial with only MLSGA-NSGAII regularly finding the entire Pareto front.

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PREPRINT Optimal design of triaxial weave fabric composites under tension - Accepted Manuscript
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Accepted/In Press date: 22 June 2018
e-pub ahead of print date: 27 June 2018
Published date: 1 October 2018

Identifiers

Local EPrints ID: 422016
URI: http://eprints.soton.ac.uk/id/eprint/422016
ISSN: 0263-8223
PURE UUID: d584865c-bc51-44d9-a178-59f47ec35086
ORCID for Zhenzhou Wang: ORCID iD orcid.org/0000-0003-3926-070X
ORCID for Adam Sobey: ORCID iD orcid.org/0000-0001-6880-8338

Catalogue record

Date deposited: 12 Jul 2018 16:31
Last modified: 07 Oct 2020 04:27

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