Reliability analysis of slopes considering spatial variability of soil properties based on efficiently identified representative slip surfaces
文献类型:期刊论文
作者 | Wang, Bin2,3; Liu, Leilei1,4,5; Li, Yuehua1,4,5; Jiang, Quan2,3 |
刊名 | JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
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出版日期 | 2020-06-01 |
卷号 | 12期号:3页码:642-655 |
关键词 | Slope reliability analysis Spatial variability Representative slip surfaces (RSSs) Response surface method (RSM) Random field simulation |
ISSN号 | 1674-7755 |
DOI | 10.1016/j.jrmge.2019.12.003 |
英文摘要 | Slope reliability analysis considering inherent spatial variability (ISV) of soil properties is time-consuming 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 (P-f) of slopes with those obtained from direct analysis and literature. (C) 2020 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
资助项目 | Natural Science Foundation of China[51709258] ; Natural Science Foundation of China[51979270] ; Natural Science Foundation of China[41902291] ; CAS Pioneer Hundred Talents Program ; Research Foundation of Key Laboratory of Deep Geodrilling Technology, Ministry of Land and Resources, China[F201801] |
WOS研究方向 | Engineering |
语种 | 英语 |
WOS记录号 | WOS:000540806700018 |
出版者 | SCIENCE PRESS |
源URL | [http://119.78.100.198/handle/2S6PX9GI/24377] ![]() |
专题 | 中科院武汉岩土力学所 |
通讯作者 | Liu, Leilei |
作者单位 | 1.Hunan Key Lab Nonferrous Resources & Geol Hazards, Changsha 410083, Peoples R China 2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Cent South Univ, Sch Geosci & Infophys, Key Lab Metallogen Predict Nonferrous Met & Geol, Minist Educ, Changsha 410083, Peoples R China 5.Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Bin,Liu, Leilei,Li, Yuehua,et al. Reliability analysis of slopes considering spatial variability of soil properties based on efficiently identified representative slip surfaces[J]. JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING,2020,12(3):642-655. |
APA | Wang, Bin,Liu, Leilei,Li, Yuehua,&Jiang, Quan.(2020).Reliability analysis of slopes considering spatial variability of soil properties based on efficiently identified representative slip surfaces.JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING,12(3),642-655. |
MLA | Wang, Bin,et al."Reliability analysis of slopes considering spatial variability of soil properties based on efficiently identified representative slip surfaces".JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING 12.3(2020):642-655. |
入库方式: OAI收割
来源:武汉岩土力学研究所
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