Back analysis of geomechanical parameters for rock mass under complex geological conditions using a novel algorithm
文献类型：期刊论文
| 作者 | Li, Hui; Chen, Weizhong; Tan, Xuyan; Tan, Xianjun |
| 刊名 | TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
 |
| 出版日期 | 2023-06-01 |
| 卷号 | 136页码:13 |
| 关键词 | Back analysis Geomechanical parameters Particle swarm optimization Support vector machine Tunnel |
| ISSN号 | 0886-7798 |
| DOI | 10.1016/j.tust.2023.105099 |
| 英文摘要 | Geomechanical properties of rock mass are of vital importance for design optimization and stability evaluation in geotechnical engineering. Traditionally, they are estimated by laboratory experiments, in situ tests, and empirical classification, which ignore the scale effect, and may be not representative, leading to uncertainties of parameters. Back analysis method based on the monitoring displacement data provides the state-of-the-art tool for the estimation of geomechanical parameters. This paper proposed a novel back analysis method, which combined the optimized particle swarm optimization (OPSO) algorithm with the support vector machine (SVM) algorithm. And then, we cooperate the method with finite element method (FEM) forming the comprehensive method named OPSO-SVM-ABAQUS. This method has developed the standard PSO algorithm from two aspects for more powerful optimization capability and higher optimization precision. The OPSO algorithm is then used for the estimation of the SVM hyperparameters and the optimal values of geomechanical parameters. Further-more, the performance of the proposed algorithm is compared with other six algorithms. Finally, the geo-mechanical parameters of the interlayered soft and hard rocks are calculated accurately, with the average error between the back-analyzed and assumed actual parameters to be 0.91 %. And the parametric investigations are implemented with the trained model. It dominates that the proposed algorithm is feasible for reasonable pa-rameters in geotechnical engineering under complex geological conditions. |
| 资助项目 | National Natural Science Foundation of China[51991392] ; National Natural Science Foundation of China[51922104] |
| WOS研究方向 | Construction & Building Technology ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001041420400001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/39129]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Chen, Weizhong; Tan, Xianjun |
| 作者单位 | 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 | Li, Hui,Chen, Weizhong,Tan, Xuyan,et al. Back analysis of geomechanical parameters for rock mass under complex geological conditions using a novel algorithm[J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY,2023,136:13. |
| APA | Li, Hui,Chen, Weizhong,Tan, Xuyan,&Tan, Xianjun.(2023).Back analysis of geomechanical parameters for rock mass under complex geological conditions using a novel algorithm.TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY,136,13. |
| MLA | Li, Hui,et al."Back analysis of geomechanical parameters for rock mass under complex geological conditions using a novel algorithm".TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 136(2023):13. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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