Data-driven enhanced rough contact mechanics: PINN estimation of gap distribution across length scales for partial contacts
文献类型：期刊论文
| 作者 | Zhou, Yunong2; Song HX(宋恒旭)1,3 |
| 刊名 | TRIBOLOGY INTERNATIONAL
 |
| 出版日期 | 2026-02-01 |
| 卷号 | 214页码:7 |
| 关键词 | Contact mechanics Rough surface PINN Gap distribution |
| ISSN号 | 0301-679X |
| DOI | 10.1016/j.triboint.2025.111100 |
| 通讯作者 | Song, Hengxu(songhengxu@imech.ac.cn) |
| 英文摘要 | In this study, we employ Green's function molecular dynamics (GFMD) to simulate non-adhesive elastic contact between a half-space and a randomly rough counterface in (1+1) dimensions, obtaining gap distributions across varying length scales and Hurst exponents. Using the GFMD-generated dataset and incorporating the convection-diffusion equation form (derived in prior and current work) as a physical constraint, we predict gap distributions via Physics-Informed Neural Network (PINN). Results demonstrate that under partial contact conditions-where analytical solutions are unavailable-PINN predictions assuming drift and diffusion coefficients scale with length exhibit high agreement with GFMD. Furthermore, PINN successfully predicts gap distributions and relative contact areas at larger scales using small-scale training data, closely matching GFMD benchmarks. This establishes PINN as an effective tool for rough surface contact problems, particularly when analytical solutions are absent or computational models are prohibitively expensive. |
| 分类号 | 一类 |
| WOS关键词 | MOLECULAR-DYNAMICS |
| 资助项目 | National Natural Science Foundation of China[12402116] ; Natural Science Foundation of Jiangsu Province[BK20220555] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB0620101] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001565592500001 |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Jiangsu Province ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| 其他责任者 | 宋恒旭 |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/103716]  |
| 专题 | 力学研究所_非线性力学国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Mech, LNM, Beijing 100190, Peoples R China; 2.Yangzhou Univ, Dept Civil Engn, Yangzhou 225127, Jiangsu, Peoples R China; 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Yunong,Song HX. Data-driven enhanced rough contact mechanics: PINN estimation of gap distribution across length scales for partial contacts[J]. TRIBOLOGY INTERNATIONAL,2026,214:7. |
| APA | Zhou, Yunong,&宋恒旭.(2026).Data-driven enhanced rough contact mechanics: PINN estimation of gap distribution across length scales for partial contacts.TRIBOLOGY INTERNATIONAL,214,7. |
| MLA | Zhou, Yunong,et al."Data-driven enhanced rough contact mechanics: PINN estimation of gap distribution across length scales for partial contacts".TRIBOLOGY INTERNATIONAL 214(2026):7. |
入库方式： OAI收割
来源：力学研究所
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