A framework for finding the optimal laminate design rules using generative and explainable machine learning models
文献类型：期刊论文
| 作者 | Qiu C(邱诚)3; Song HW(宋宏伟)3; Yang, Jinglei1,2 |
| 刊名 | COMPOSITES COMMUNICATIONS
 |
| 出版日期 | 2025-10-01 |
| 卷号 | 58页码:9 |
| 关键词 | Laminate optimization Data-driven method Quasi-isotropic design Homogeneous design |
| ISSN号 | 2452-2139 |
| DOI | 10.1016/j.coco.2025.102548 |
| 通讯作者 | Qiu, Cheng(qiucheng@imech.ac.cn) |
| 英文摘要 | The vast design space of composite laminates poses significant challenges to the design process. Thus, establishing simple laminating rules to guide the design of layup sequences is of great importance. This paper presents a novel data-driven framework composed of two machine-learning models. The generative model is used to produce laminate designs that meet the specific design requirements, while their hidden quantitative relation is revealed by the explainable model. The effectiveness of this framework is verified through two classical composite design cases: isotropic and homogeneous laminates. The laminating rules proposed by the data-driven framework are proven to be reasonable and consistent with those in common laminate practices. This work demonstrates the great potential of artificial intelligence not only in guiding laminate design but also in providing new perspectives on discovering composite theory. |
| 分类号 | 二类/Q1 |
| WOS研究方向 | Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001547390500001 |
| 其他责任者 | 邱诚 |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/103460]  |
| 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.HKUST Shenzhen Hong Kong Collaborat Innovat Res In, Shenzhen, Peoples R China 2.Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Hong Kong, Peoples R China; 3.Chinese Acad Sci, Inst Mech, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Qiu C,Song HW,Yang, Jinglei. A framework for finding the optimal laminate design rules using generative and explainable machine learning models[J]. COMPOSITES COMMUNICATIONS,2025,58:9. |
| APA | 邱诚,宋宏伟,&Yang, Jinglei.(2025).A framework for finding the optimal laminate design rules using generative and explainable machine learning models.COMPOSITES COMMUNICATIONS,58,9. |
| MLA | 邱诚,et al."A framework for finding the optimal laminate design rules using generative and explainable machine learning models".COMPOSITES COMMUNICATIONS 58(2025):9. |
入库方式： OAI收割
来源：力学研究所
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