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Parametric analysis for the large deformation characteristics of unstable slopes with linearly increasing soil strength by the random material point method

文献类型：期刊论文

作者Liu, Lei -Lei2,3; Liang, Chang-Qi2,3; Huang, Lei4; Wang, Bin1,5
刊名COMPUTERS AND GEOTECHNICS
出版日期2023-10-01
卷号162页码:11
关键词Large deformation of slopes Random material point method (RMPM) Nonstationary random field (RF) Soil spatial variability
ISSN号0266-352X
DOI10.1016/j.compgeo.2023.105661
英文摘要Soils often exhibit spatial variability with nonstationarity, which has not yet been studied in the context of postfailure analysis of slopes. In this study, the random material point method is adopted to investigate the influence of nonstationarity on the large deformation characteristics of a slope with spatially variable undrained shear strength (Su). The nonstationarity has significant influences on the mean and standard deviation of the large deformation characteristics, where ignoring the nonstationarity can lead to higher mean and standard deviation values. In addition, when the nonstationarity is insignificant with a small increase in the rate of the soil strength, the model boundary can significantly affect the standard deviation of influence and run-out distances, but the influence is slight on those of the volume of the sliding mass. In addition, the mean and standard deviation of the large deformation characteristics increase with a higher coefficient of variation of Su. This study reveals that the nonstationarity of soil spatial variability can influence the failure mechanism in the failure initiation stage and thus the volume of the sliding mass, which controls the kinetic energy of the sliding mass in the postfailure stage and affects the influence and run-out distances.
资助项目National Natural Science Foundation of China[41902291] ; National Natural Science Foundation of China[51979270] ; Excellent Natural Science Foundation of Hunan Province, China[2022JJ20058] ; Fundamental Research Funds for Central Universities of the Central South University[2022ZZTS0501]
WOS研究方向Computer Science ; Engineering ; Geology
语种英语
WOS记录号WOS:001047039100001
出版者ELSEVIER SCI LTD
源URL[http://119.78.100.198/handle/2S6PX9GI/39192]  
专题中科院武汉岩土力学所
通讯作者Wang, Bin
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Cent South Univ, Sch Geosci & Infophys, Key Lab Metallogen Predict Nonferrous Met & Geol E, Minist Educ, Changsha 410083, Peoples R China
3.Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China
4.Wenzhou Univ, Coll Civil Engn & Architecture, Wenzhou 325035, Peoples R China
5.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		 Liu, Lei -Lei,Liang, Chang-Qi,Huang, Lei,et al. Parametric analysis for the large deformation characteristics of unstable slopes with linearly increasing soil strength by the random material point method[J]. COMPUTERS AND GEOTECHNICS,2023,162:11.
APA Liu, Lei -Lei,Liang, Chang-Qi,Huang, Lei,&Wang, Bin.(2023).Parametric analysis for the large deformation characteristics of unstable slopes with linearly increasing soil strength by the random material point method.COMPUTERS AND GEOTECHNICS,162,11.
MLA Liu, Lei -Lei,et al."Parametric analysis for the large deformation characteristics of unstable slopes with linearly increasing soil strength by the random material point method".COMPUTERS AND GEOTECHNICS 162(2023):11.

入库方式： OAI收割

来源：武汉岩土力学研究所

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