A data-driven approach to identify the optimal sub-laminates for homogeneity design under the concept of double-double composites
文献类型：期刊论文
| 作者 | Qiu C(邱诚)1; Song HW(宋宏伟)1; Yang, Jinglei2,3 |
| 刊名 | COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
 |
| 出版日期 | 2025-08-01 |
| 卷号 | 195页码:16 |
| 关键词 | Laminate optimization Data-driven method Double-double laminate Homogeneous design |
| ISSN号 | 1359-835X |
| DOI | 10.1016/j.compositesa.2025.108897 |
| 通讯作者 | Qiu, Cheng(qiucheng@imech.ac.cn) |
| 英文摘要 | This paper presents the design of the sub-laminate under the concept of the double-double composite using the data-driven method. As the key advantage of the double-double composites is the reduced repeat number of sub-laminates necessary to achieve homogeneity, it is therefore crucial to determine the best pattern of sub-laminates which ensures the optimal lightweight design with the minimum thickness. In the data-driven framework, first, a generative neural network model was built for generating the sub-laminates fitting in the scope of the homogeneous criterion. Then, a symbolic regression model was built for quantitatively finding the hidden layup patterns in the dataset of these sub-laminates. It is found that the form of double-double and triple-double stands out in the vast design space of all the possible layup sequences. The 4-layer sub-laminate of [B/ - /i//i/ - B] and 6-layer sub-laminate of [B/ - /i/ - y/ + y/ + /i/ - B] are most recommended as they meet the homogeneous criterion with less thickness and offer larger design space of mechanical properties. The established data-driven framework can be extended to other scenarios especially in finding the common design rules of laminates. |
| 分类号 | 一类 |
| 资助项目 | Project of Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone, China[HZQB-KCZYB-2020083] ; Chinese Academy of Sciences[025GJHZ2022103FN] |
| WOS研究方向 | Engineering ; Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001476338500001 |
| 资助机构 | Project of Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone, China ; Chinese Academy of Sciences |
| 其他责任者 | 邱诚 |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/101112]  |
| 专题 | 力学研究所_流固耦合系统力学重点实验室(2012-) |
| 作者单位 | 1.Chinese Acad Sci, Inst Mech, Beijing, Peoples R China; 2.HKUST Shenzhen Hong Kong Collaborat Innovat Res In, Shenzhen, Peoples R China 3.Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Hong Kong, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Qiu C,Song HW,Yang, Jinglei. A data-driven approach to identify the optimal sub-laminates for homogeneity design under the concept of double-double composites[J]. COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING,2025,195:16. |
| APA | 邱诚,宋宏伟,&Yang, Jinglei.(2025).A data-driven approach to identify the optimal sub-laminates for homogeneity design under the concept of double-double composites.COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING,195,16. |
| MLA | 邱诚,et al."A data-driven approach to identify the optimal sub-laminates for homogeneity design under the concept of double-double composites".COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING 195(2025):16. |
入库方式： OAI收割
来源：力学研究所
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