Optimal design of triaxial weave fabric composites for specific strength and stiffness under tension
Optimal design of triaxial weave fabric composites for specific strength and stiffness under tension
Triaxial weave fabric (TWF) composites are increasingly used in ultralight flexible structures, such as deployable antenna on spacecraft and wing skins of unmanned aerial vehicles (UAVs). High specific strength to stiffness ratios are important to avoid damage under large deflections and during folding and unfolding, whilst ensuring that they remain light weight. Genetic Algorithms (GAs) are widely used in the composite optimisation literature to find weaves that give optimal properties. Previously MLSGA-NSGAII and NSGA-II were shown to have the best performance in finding optimal schema for triaxial weave fabric composites and are used to generate Pareto Fronts of stiffness and strength. In this study the density of the material is also considered. 500 Pareto front points are achieved with 15 designs that are potentially capable of being designed for ultralight structures. A potential increase of 228.05% in the strength to stiffness ratio with increase of 149.49% in the strength is made with the same surface density as a current example. These allow selection of designs with high specific strength to stiffness ratios, ensuring practical designs that can be used for ultra-lightweight applications.
Genetic Algorithms, Multi-objective optimisation, Tensile mechanical properties and surface density, Triaxial weave fabric (TWF)
Applied Mechanics Laboratory
Wang, Z.Z.
ad12517c-b008-40e9-a72e-4867b90c7e28
Sobey, A.
e850606f-aa79-4c99-8682-2cfffda3cd28
2020
Wang, Z.Z.
ad12517c-b008-40e9-a72e-4867b90c7e28
Sobey, A.
e850606f-aa79-4c99-8682-2cfffda3cd28
Wang, Z.Z. and Sobey, A.
(2020)
Optimal design of triaxial weave fabric composites for specific strength and stiffness under tension.
In 18th European Conference on Composite Materials (ECCM-18).
Applied Mechanics Laboratory..
Record type:
Conference or Workshop Item
(Paper)
Abstract
Triaxial weave fabric (TWF) composites are increasingly used in ultralight flexible structures, such as deployable antenna on spacecraft and wing skins of unmanned aerial vehicles (UAVs). High specific strength to stiffness ratios are important to avoid damage under large deflections and during folding and unfolding, whilst ensuring that they remain light weight. Genetic Algorithms (GAs) are widely used in the composite optimisation literature to find weaves that give optimal properties. Previously MLSGA-NSGAII and NSGA-II were shown to have the best performance in finding optimal schema for triaxial weave fabric composites and are used to generate Pareto Fronts of stiffness and strength. In this study the density of the material is also considered. 500 Pareto front points are achieved with 15 designs that are potentially capable of being designed for ultralight structures. A potential increase of 228.05% in the strength to stiffness ratio with increase of 149.49% in the strength is made with the same surface density as a current example. These allow selection of designs with high specific strength to stiffness ratios, ensuring practical designs that can be used for ultra-lightweight applications.
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Published date: 2020
Additional Information:
Funding Information: this project was supported by the Lloyds Register Foundation and Chinese Scholarship Council.
Venue - Dates:
18th European Conference on Composite Materials, Megaron Athens International Conference Center, Athens, Greece, 2018-06-24 - 2018-06-28
Keywords:
Genetic Algorithms, Multi-objective optimisation, Tensile mechanical properties and surface density, Triaxial weave fabric (TWF)
Identifiers
Local EPrints ID: 485860
URI: http://eprints.soton.ac.uk/id/eprint/485860
PURE UUID: 51b31f77-dd7c-42a8-aedd-b32bda00fec1
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Date deposited: 03 Jan 2024 16:17
Last modified: 18 Mar 2024 03:07
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Author:
Z.Z. Wang
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