Investigation of rainfall intensity on the slope failure process using GPU-accelerated coupled MPM
文献类型：期刊论文
| 作者 | Wang, Di3; Wang, Bin1,3; Yuan, Weihai4; Liu, Leilei2 |
| 刊名 | COMPUTERS AND GEOTECHNICS
 |
| 出版日期 | 2023-11-01 |
| 卷号 | 163页码:22 |
| 关键词 | Material point method GPU-accelerated Rainfall intensity Slope failure Solid-fluid coupling |
| ISSN号 | 0266-352X |
| DOI | 10.1016/j.compgeo.2023.105718 |
| 英文摘要 | Rainfall-induced slope failure is a common geo-hazard, which can cause catastrophic damages to human life and properties. In order to prevent the occurrence of catastrophes, understanding the mechanism of rainfall-induced slope failure and estimating its failure process is of significant importance. This paper presents a solid-fluid coupling material point method (MPM) in simulating the rainfall-induced slope failure process, and meanwhile, the influence of rainfall intensities on the slope failure process is explored. The solid-fluid coupling MPM is enhanced with a cubic B-spline shape function, rainfall infiltration boundary condition and GPU-accelerated framework, so that a computationally efficient and numerically stable simulation can be realized. One-dimensional consolidation, infiltration and two-dimensional slumping block tests are firstly simulated to test the effectiveness and capability of the solid-fluid coupling MPM in simulating large deformation hydro-mechanical problems. Thereafter, an in-door rainfall-induced slope failure experiment is simulated, where a consistent failure pattern is reproduced. Finally, the influence of rainfall intensity on the slope failure process is studied. Deep-seated and shallow surface failures are two major failure patterns corresponding to small and large rainfall intensities, respectively. Further analyses prove that different evolutions of pore pressure fields and seepage channels play important roles in forming the different failure patterns. |
| 资助项目 | National Natural Science Foundation of China[51979270] ; National Natural Science Foundation of China[51709258] ; CAS Pioneer Hundred Talents Program |
| WOS研究方向 | Computer Science ; Engineering ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001061544000001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/39356]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Wang, Bin; Yuan, Weihai |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Cent South Univ, Sch Geosci & Info Phys, Key Lab Metallogen Predict Nonferrous Met & Geol E, Minist Educ, Changsha 410083, Peoples R China 3.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 4.Hohai Univ, Coll Mech & Mat, Nanjing 210098, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Di,Wang, Bin,Yuan, Weihai,et al. Investigation of rainfall intensity on the slope failure process using GPU-accelerated coupled MPM[J]. COMPUTERS AND GEOTECHNICS,2023,163:22. |
| APA | Wang, Di,Wang, Bin,Yuan, Weihai,&Liu, Leilei.(2023).Investigation of rainfall intensity on the slope failure process using GPU-accelerated coupled MPM.COMPUTERS AND GEOTECHNICS,163,22. |
| MLA | Wang, Di,et al."Investigation of rainfall intensity on the slope failure process using GPU-accelerated coupled MPM".COMPUTERS AND GEOTECHNICS 163(2023):22. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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