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Inverse design of constituent materials of 3D hybrid woven composites for tailored effective properties using reduced order model and genetic algorithm

Shilian Sun, Weijie Zhang, Ying Yan, Xi Zou Orcid Logo, Shibo Yan Orcid Logo

Composites Part A: Applied Science and Manufacturing, Volume: 203, Start page: 109601

Swansea University Author: Xi Zou Orcid Logo

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DOI (Published version): 10.1016/j.compositesa.2026.109601

Published in: Composites Part A: Applied Science and Manufacturing
ISSN: 1359-835X
Published: Elsevier BV 2026
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URI: https://cronfa.swan.ac.uk/Record/cronfa71321
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last_indexed 2026-02-17T05:35:02Z
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spelling 2026-02-16T11:41:05.5677047 v2 71321 2026-01-27 Inverse design of constituent materials of 3D hybrid woven composites for tailored effective properties using reduced order model and genetic algorithm a9f66a1e56009848af57c0d174d08ffe 0000-0001-7436-7903 Xi Zou Xi Zou true false 2026-01-27 ACEM Journal Article Composites Part A: Applied Science and Manufacturing 203 109601 Elsevier BV 1359-835X Inverse design; Effective properties; 3D hybrid woven composites; Reduced order model; Genetic algorithm 1 4 2026 2026-04-01 10.1016/j.compositesa.2026.109601 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University This work was partially funded by Beihang University through the 111 Center (B18002). 2026-02-16T11:41:05.5677047 2026-01-27T15:31:05.1184774 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Shilian Sun 1 Weijie Zhang 2 Ying Yan 3 Xi Zou 0000-0001-7436-7903 4 Shibo Yan 0000-0003-2109-5515 5 71321__36234__27d18c325be74b7788d1365af2501f04.pdf 71321.AAM.pdf 2026-02-16T11:33:22.4761724 Output 1788921 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention). true eng https://creativecommons.org/licenses/by/4.0/deed.en
title Inverse design of constituent materials of 3D hybrid woven composites for tailored effective properties using reduced order model and genetic algorithm
spellingShingle Inverse design of constituent materials of 3D hybrid woven composites for tailored effective properties using reduced order model and genetic algorithm
Xi Zou
title_short Inverse design of constituent materials of 3D hybrid woven composites for tailored effective properties using reduced order model and genetic algorithm
title_full Inverse design of constituent materials of 3D hybrid woven composites for tailored effective properties using reduced order model and genetic algorithm
title_fullStr Inverse design of constituent materials of 3D hybrid woven composites for tailored effective properties using reduced order model and genetic algorithm
title_full_unstemmed Inverse design of constituent materials of 3D hybrid woven composites for tailored effective properties using reduced order model and genetic algorithm
title_sort Inverse design of constituent materials of 3D hybrid woven composites for tailored effective properties using reduced order model and genetic algorithm
author_id_str_mv a9f66a1e56009848af57c0d174d08ffe
author_id_fullname_str_mv a9f66a1e56009848af57c0d174d08ffe_***_Xi Zou
author Xi Zou
author2 Shilian Sun
Weijie Zhang
Ying Yan
Xi Zou
Shibo Yan
format Journal article
container_title Composites Part A: Applied Science and Manufacturing
container_volume 203
container_start_page 109601
publishDate 2026
institution Swansea University
issn 1359-835X
doi_str_mv 10.1016/j.compositesa.2026.109601
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 1
active_str 0
published_date 2026-04-01T05:29:30Z
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score 11.098272

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