Intelligent methods for optimization design of lightweight fiber-reinforced composite structures: A review and the-state-of-the-art
As the application of lightweight fiber-reinforced composite structures reaches an unprecedented scale in industry, design technology for composite structures becomes crucial for enhancing performance, improving productivity, and reducing cost. In recent years, the rapid development of intelligent t...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Materials |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmats.2023.1125328/full |
| _version_ | 1797855242918821888 |
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| author | Yonglin Chen Junming Zhang Zefu Li Huliang Zhang Jiping Chen Jiping Chen Weidong Yang Tao Yu Weiping Liu Yan Li |
| author_facet | Yonglin Chen Junming Zhang Zefu Li Huliang Zhang Jiping Chen Jiping Chen Weidong Yang Tao Yu Weiping Liu Yan Li |
| author_sort | Yonglin Chen |
| collection | DOAJ |
| description | As the application of lightweight fiber-reinforced composite structures reaches an unprecedented scale in industry, design technology for composite structures becomes crucial for enhancing performance, improving productivity, and reducing cost. In recent years, the rapid development of intelligent technology, such as big data, deep learning, and machine learning, has promoted the development of design technology. However, the current situation and intellectualization of the design technology is not well summarized. This paper reviews the advance in design technologies for fiber-reinforced composite structures, including prediction and optimization methods for composite properties. Then, their intellectualization development is overviewed. Finally, the development trend of intelligent design technologies and intelligent composite structures are discussed. This work can provide a reference for researchers in the related field. |
| first_indexed | 2024-04-09T20:20:32Z |
| format | Article |
| id | doaj.art-13dc6a27a0e841fc871c6b691331e029 |
| institution | Directory Open Access Journal |
| issn | 2296-8016 |
| language | English |
| last_indexed | 2024-04-09T20:20:32Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Materials |
| spelling | doaj.art-13dc6a27a0e841fc871c6b691331e0292023-03-31T04:55:46ZengFrontiers Media S.A.Frontiers in Materials2296-80162023-03-011010.3389/fmats.2023.11253281125328Intelligent methods for optimization design of lightweight fiber-reinforced composite structures: A review and the-state-of-the-artYonglin Chen0Junming Zhang1Zefu Li2Huliang Zhang3Jiping Chen4Jiping Chen5Weidong Yang6Tao Yu7Weiping Liu8Yan Li9School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, ChinaSchool of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, ChinaSchool of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, ChinaSchool of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, ChinaSchool of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, ChinaCOMAC Shanghai Aircraft Manufacturing Co., Ltd., Shanghai, ChinaSchool of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, ChinaSchool of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, ChinaCOMAC Shanghai Aircraft Manufacturing Co., Ltd., Shanghai, ChinaSchool of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, ChinaAs the application of lightweight fiber-reinforced composite structures reaches an unprecedented scale in industry, design technology for composite structures becomes crucial for enhancing performance, improving productivity, and reducing cost. In recent years, the rapid development of intelligent technology, such as big data, deep learning, and machine learning, has promoted the development of design technology. However, the current situation and intellectualization of the design technology is not well summarized. This paper reviews the advance in design technologies for fiber-reinforced composite structures, including prediction and optimization methods for composite properties. Then, their intellectualization development is overviewed. Finally, the development trend of intelligent design technologies and intelligent composite structures are discussed. This work can provide a reference for researchers in the related field.https://www.frontiersin.org/articles/10.3389/fmats.2023.1125328/fulllightweight fiber-reinforced composite structureintelligent predictionoptimization designintellectualizationmultiscale |
| spellingShingle | Yonglin Chen Junming Zhang Zefu Li Huliang Zhang Jiping Chen Jiping Chen Weidong Yang Tao Yu Weiping Liu Yan Li Intelligent methods for optimization design of lightweight fiber-reinforced composite structures: A review and the-state-of-the-art Frontiers in Materials lightweight fiber-reinforced composite structure intelligent prediction optimization design intellectualization multiscale |
| title | Intelligent methods for optimization design of lightweight fiber-reinforced composite structures: A review and the-state-of-the-art |
| title_full | Intelligent methods for optimization design of lightweight fiber-reinforced composite structures: A review and the-state-of-the-art |
| title_fullStr | Intelligent methods for optimization design of lightweight fiber-reinforced composite structures: A review and the-state-of-the-art |
| title_full_unstemmed | Intelligent methods for optimization design of lightweight fiber-reinforced composite structures: A review and the-state-of-the-art |
| title_short | Intelligent methods for optimization design of lightweight fiber-reinforced composite structures: A review and the-state-of-the-art |
| title_sort | intelligent methods for optimization design of lightweight fiber reinforced composite structures a review and the state of the art |
| topic | lightweight fiber-reinforced composite structure intelligent prediction optimization design intellectualization multiscale |
| url | https://www.frontiersin.org/articles/10.3389/fmats.2023.1125328/full |
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