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.
616-624
Wang, Zhenzhou
794c41fe-f5da-4da4-8f1c-c7beb06f87eb
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
1 October 2018
Wang, Zhenzhou
794c41fe-f5da-4da4-8f1c-c7beb06f87eb
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, .
(doi:10.1016/j.compstruct.2018.06.090).
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
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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
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Local EPrints ID: 422016
URI: http://eprints.soton.ac.uk/id/eprint/422016
ISSN: 0263-8223
PURE UUID: d584865c-bc51-44d9-a178-59f47ec35086
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Date deposited: 12 Jul 2018 16:31
Last modified: 16 Mar 2024 06:47
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Author:
Zhenzhou Wang
Author:
J. Bai
Author:
J. Xiong
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