Reliability analysis of slopes considering spatial variability of soil properties based on efficiently identified representative slip surfaces  

作　　者：Bin Wang Leilei Liu Yuehua Li Quan Jiang 

机构地区：[1]State Key Laboratory of Geomechanics and Geotechnical Engineering,Institute of Rock and Soil Mechanics,Chinese Academy of Sciences,Wuhan,430071,China [2]University of Chinese Academy of Sciences,Beijing,100049,China [3]Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring,Ministry of Education,School of Geosciences and Info-Physics,Central South University,Changsha,410083,China [4]Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration,Changsha,410083,China [5]School of Geosciences and Info-Physics,Central South University,Changsha,410083,China

出　　处：《Journal of Rock Mechanics and Geotechnical Engineering》2020年第3期642-655,共14页岩石力学与岩土工程学报（英文版）

基　　金：The work described in this paper was nancially supported by the Natural Science Foundation of China(Grant Nos.51709258,51979270 and 41902291),the CAS Pioneer Hundred Talents Pro-gram and the Research Foundation of Key Laboratory of Deep Geodrilling Technology,Ministry of Land and Resources,China(Grant No.F201801).

摘　　要：Slope reliability analysis considering inherent spatial variability(ISV)of soil properties is timeconsuming when response surface method(RSM)is used,because of the"curse of dimensionality".This paper proposes an effective method for identification of representative slip surfaces(RSSs)of slopes with spatially varied soils within the framework of limit equilibrium method(LEM),which utilizes an adaptive K-means clustering approach.Then,an improved slope reliability analysis based on the RSSs and RSM considering soil spatial variability,in perspective of computation efficiency,is established.The detailed implementation procedure of the proposed method is well documented,and the ability of the method in identifying RSSs and estimating reliability is investigated via three slope examples.Results show that the proposed method can automatically identify the RSSs of slope with only one evaluation of the conventional deterministic slope stability model.The RSSs are invariant with the statistics of soil properties,which allows parametric studies that are often required in slope reliability analysis to be efficiently achieved with ease.It is also found that the proposed method provides comparable values of factor of safety(FS)and probability of failure(Pf)of slopes with those obtained from direct analysis and lite rature.

关 键 词：Slope reliability analysis Spatial variability Representative slip surfaces(RSSs) Response surface method(RSM) Random field simulation 

分 类 号：TU433[建筑科学—岩土工程]