Nonlinear Intelligent Inversion Method and Practice for In-situ Stress in Stratified Rock Masses with Deep Valley
文献类型：期刊论文
| 作者 | Song, Zebin3,4; Jiang, Quan4; Chen, Pengfei3,4; Xia, Yong1; Xiang, Tianbing2 |
| 刊名 | ROCK MECHANICS AND ROCK ENGINEERING
 |
| 出版日期 | 2024-11-19 |
| 页码 | 23 |
| 关键词 | In-situ stress field Intelligent inversion Deep learning method Numerical simulation River erosion |
| ISSN号 | 0723-2632 |
| DOI | 10.1007/s00603-024-04233-6 |
| 英文摘要 | Accurate initial stress conditions, including their magnitude and orientation, are a prerequisite for evaluating the deformation and failure of surrounding rock masses in underground caverns, as well as for assessing dynamic failure risks and optimizing the layout of the cavern's axes. Yet, the general stress inversion method based on limited measured data points and numerical back analysis always faces the challenge of non-uniqueness in the model's boundary conditions, which results in inaccuracies of the obtained stress field. This study established an intelligent inversion method for the stress field in stratified rock masses with deep valleys, considering the effects of river erosion. It proposed a nonlinear inversion algorithm based on Long Short-Term Memory Networks-Hybrid Optimization (LSTM-HO), which leverages the structural advantages of LSTM to construct a precise nonlinear surrogate model between measured geo-stress and the model's boundary conditions, and by utilizing the fitness function of HO to search the reasonable boundary conditions. By inputting measured geo-stress, the HO can rapidly generate several potential boundary condition vectors of the numerical model. The cavern's excavation damage zone (EDZ) is then employed for secondary screening, refining these possibilities to a unique, reliable boundary vector. This approach effectively addresses the non-uniqueness issue of the model's boundary conditions in stress field inversion processes. The method is applied in the engineering site of Kala Hydropower Station. A reliable regional stress field consistent with measured stresses and the cavern's EDZ depth is obtained in steeply inclined layered rock masses with V-shaped river valleys, which demonstrates the reliability and applicability of the presented method. Developed a numerical model for in-situ stress in steeply inclined layered rock masses, considering river erosion and major faults.An intelligent nonlinear inversion framework using Long Short-Term Memory-Hybrid Optimization was proposed to create potential in-situ stress fields.The excavation damage zone was included as an inversion indicator to address non-uniqueness in boundary conditions.The causes and effects of non-uniqueness in boundary conditions on in-situ stress inversion were analyzed. |
| 资助项目 | National Natural Science Foundation of China[52325905] ; National Natural Science Foundation of China[U1965205] |
| WOS研究方向 | Engineering ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001358521100001 |
| 出版者 | SPRINGER WIEN |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/43219]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Jiang, Quan |
| 作者单位 | 1.Power China Chengdu Engn Corp Ltd, Chengdu 610072, Peoples R China 2.Power China Kunming Engn Corp Ltd, Kunming 650051, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Zebin,Jiang, Quan,Chen, Pengfei,et al. Nonlinear Intelligent Inversion Method and Practice for In-situ Stress in Stratified Rock Masses with Deep Valley[J]. ROCK MECHANICS AND ROCK ENGINEERING,2024:23. |
| APA | Song, Zebin,Jiang, Quan,Chen, Pengfei,Xia, Yong,&Xiang, Tianbing.(2024).Nonlinear Intelligent Inversion Method and Practice for In-situ Stress in Stratified Rock Masses with Deep Valley.ROCK MECHANICS AND ROCK ENGINEERING,23. |
| MLA | Song, Zebin,et al."Nonlinear Intelligent Inversion Method and Practice for In-situ Stress in Stratified Rock Masses with Deep Valley".ROCK MECHANICS AND ROCK ENGINEERING (2024):23. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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