Large deformation slope failure - A perspective from multiscale modelling
文献类型:期刊论文
作者 | Wang, Di5; Wang, Bin4,5; Jiang, Quan4,5; Guo, Ning3; Zhang, Wei2; He, Kaiyuan1 |
刊名 | COMPUTERS AND GEOTECHNICS
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出版日期 | 2022-10-01 |
卷号 | 150页码:18 |
关键词 | Slope failure Hierarchical multiscale modelling Material point method Discrete element method |
ISSN号 | 0266-352X |
DOI | 10.1016/j.compgeo.2022.104886 |
英文摘要 | Slope failure analysis is a traditional topic in geotechnical engineering. Current continuum modelling with phenomenological constitutive models fails to capture the physical mechanism at the particle scale. Discrete numerical methods may well describe particle scale features but are limited by the computational cost to handle practical engineering problems. In this paper, a coupled MPM/DEM hierarchical multiscale model is developed and implemented for slope failure analysis, aiming to obtain a comprehensive understanding of the slope failure and post-failure behaviours. For improving the numerical stability, the standard MPM version is modified by incorporating the Affine-particle-in-cell (APIC) velocity update format and B-spline basic function. A represent volume element (RVE) replacement approach is proposed in solving the excessive deformation problem during the slope failure simulation. Both the dynamic failure processes of cohesive and non-cohesive soil slopes are investigated. It is found that for non-cohesive soil slopes, the stability is mainly controlled by the microscopic frictional property and gradation, while the post-failure stage is dominated by particle level friction. For cohesive soil slopes, Johnson-Kendall-Robert (JKR) cohesive model is adopted in representing adhesive effect between particles. The results show that the slope failure pattern transmits from collapse to shear failure with increasing surface energy density. By statistical analysis on the attractive force between particles, the strength of the shear band is found to be controlled by cohesive effect for the top part and frictional property for medium and bottom parts. |
资助项目 | National Natural Science Foundation of China[51979270] ; National Natural Science Foundation of China[51709258] ; CAS Pioneer Hundred Talents Program ; Open Research Fund of State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences[Z019007] |
WOS研究方向 | Computer Science ; Engineering ; Geology |
语种 | 英语 |
WOS记录号 | WOS:000840726200002 |
出版者 | ELSEVIER SCI LTD |
源URL | [http://119.78.100.198/handle/2S6PX9GI/37364] ![]() |
专题 | 中科院武汉岩土力学所 |
通讯作者 | Wang, Bin; Jiang, Quan |
作者单位 | 1.Chongqing Univ, Departmenttemp Civil & Environm Engn, Chongqing 400044, Peoples R China 2.South China Agr Univ, Coll Water Conservancy & Civil Engn, Guangzhou 510642, Peoples R China 3.Zhejiang Univ, Res Ctr Urban Underground Space Dev Zhejiang Prov, Hangzhou 310058, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Beijing 430071, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Di,Wang, Bin,Jiang, Quan,et al. Large deformation slope failure - A perspective from multiscale modelling[J]. COMPUTERS AND GEOTECHNICS,2022,150:18. |
APA | Wang, Di,Wang, Bin,Jiang, Quan,Guo, Ning,Zhang, Wei,&He, Kaiyuan.(2022).Large deformation slope failure - A perspective from multiscale modelling.COMPUTERS AND GEOTECHNICS,150,18. |
MLA | Wang, Di,et al."Large deformation slope failure - A perspective from multiscale modelling".COMPUTERS AND GEOTECHNICS 150(2022):18. |
入库方式: OAI收割
来源:武汉岩土力学研究所
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