Three-dimensional seepage analysis for the tunnel in nonhomogeneous porous media with physics-informed deep learning
文献类型：期刊论文
| 作者 | Lin, Shan2,3; Dong, Miao3; Luo, Hongming1; Guo, Hongwei3; Zheng, Hong3 |
| 刊名 | ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
 |
| 出版日期 | 2025-06-01 |
| 卷号 | 175页码:12 |
| 关键词 | Physics-informed deep learning Tunnel Neural networks Seepage Nonhomogeneous porous media |
| ISSN号 | 0955-7997 |
| DOI | 10.1016/j.enganabound.2025.106207 |
| 英文摘要 | Tunnel engineering is one of the hot spots of research in the field of geotechnical engineering, and the seepage analysis of tunnels is an important research direction at present. In recent years, physics-informed deep learning based on priori fusion data has become a cross-disciplinary hotspot for solving forward and inverse problems based on partial differential equations (PDEs). In this paper, physics-informed deep learning (PIDL) is introduced to the solution of PDEs for Geotechnical Engineering problems. This paper builds relevant theoretical models and systematically discusses the issues associated with applying this method to the numerical simulation of tunnel seepage, starting from the mathematical theory of physics-informed deep learning. The results of this paper are compared with the analytical solution and the finite element method, and the generalization accuracy of the neural network is tested by replacing different boundary conditions, which verifies the feasibility of the physicsinformed deep learning method for solving the seepage problem of tunnels with nonhomogeneous porous media. The results of several typical numerical examples show that the method has the advantages of meshless and refined simulation. |
| 资助项目 | Natural Science Foundation of China[42477157] ; Natural Science Foundation of China[42077270] ; Chongqing Natural Science Foundation[CSTB2024NSCQ-MSX0740] |
| WOS研究方向 | Engineering ; Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:001446912100001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/36606]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Guo, Hongwei |
| 作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn Safety, Wuhan 430071, Peoples R China 2.Beijing Univ Technol, Chongqing Res Inst, Chongqing 401121, Peoples R China 3.Beijing Univ Technol, Key Lab Urban Secur & Disaster Engn, Minist Educ, Beijing 100124, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin, Shan,Dong, Miao,Luo, Hongming,et al. Three-dimensional seepage analysis for the tunnel in nonhomogeneous porous media with physics-informed deep learning[J]. ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS,2025,175:12. |
| APA | Lin, Shan,Dong, Miao,Luo, Hongming,Guo, Hongwei,&Zheng, Hong.(2025).Three-dimensional seepage analysis for the tunnel in nonhomogeneous porous media with physics-informed deep learning.ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS,175,12. |
| MLA | Lin, Shan,et al."Three-dimensional seepage analysis for the tunnel in nonhomogeneous porous media with physics-informed deep learning".ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS 175(2025):12. |
入库方式： OAI收割
来源：武汉岩土力学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。