Probabilistic Risk Assessment of Soil Slope Stability Subjected to Water Drawdown by Finite Element Limit Analysis

被引:7
作者
Wang, Xiaobing [1 ]
Xia, Xiaozhou [1 ]
Zhang, Xue [2 ]
Gu, Xin [1 ]
Zhang, Qing [1 ]
机构
[1] Hohai Univ, Coll Mech & Mat, Nanjing 211100, Peoples R China
[2] Univ Liverpool, Dept Civil Engn & Ind Design, Liverpool L69 3BX, Merseyside, England
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 20期
基金
中国国家自然科学基金;
关键词
random field; slope stability; seepage; spatial variability; limit analysis; RELIABILITY-ANALYSIS; SPATIAL VARIABILITY; SYSTEM RELIABILITY; RANDOM-FIELDS; SIMULATION; DAMS;
D O I
10.3390/app122010282
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This study investigates the probabilistic stability of embankment slopes subjected to water level drawdown using the random field finite element method (RFEM) with strength reduction technology. The shear strength of soil properties was controlled by cohesion and internal friction angle for the slope shear failure. The cohesion and internal friction angle were modeled by a random field following the log-normal distribution. The factor of safety (FOS) for the embankment slope with random soil is calculated by strength reduction technology. During the numerical simulation, the limit analysis upper bound and lower bound method are applied to the finite element method, respectively, to obtain the upper bound and lower bound value of the FOS. Seepage action is also considered during the water drawdown by setting five different water levels (WLs). A total of 1000 Monte Carlo simulations are performed for each work condition, resulting in histograms of the FOSs. The results show that the FOSs obtained by the random field model are all lower than those by the deterministic method. Even if the FOSs obtained by the two methods are close, there still exists the possibility of slope failure. Compared to the deterministic results, the RFEM method is more reasonable for evaluating slope stability.
引用
收藏
页数:17
相关论文
共 51 条
[1]   Probabilistic analysis at the serviceability limit state of two neighboring strip footings resting on a spatially random soil [J].
Ahmed, Ashraf ;
Soubra, Abdul-Hamid .
STRUCTURAL SAFETY, 2014, 49 :2-9
[2]  
Baecher G.B., 2003, Reliability and statistics in geotechnical engineering
[3]  
Bishop A.W., 1955, Geotechnique, V5, P7, DOI DOI 10.1680/GEOT.1955.5.1.7
[4]   Probabilistic combined loading failure envelopes of a strip footing on spatially variable soil [J].
Cassidy, Mark J. ;
Uzielli, Marco ;
Tian, Yinghui .
COMPUTERS AND GEOTECHNICS, 2013, 49 :191-205
[5]  
[陈朝晖 Chen Zhaohui], 2018, [岩土工程学报, Chinese Journal of Geotechnical Engineering], V40, P985
[6]   Point estimation method: Validation, efficiency improvement, and application to embankment slope stability reliability analysis [J].
Chen, Zuyu ;
Du, Jifang ;
Yan, Jijun ;
Sun, Ping ;
Li, Kangping ;
Li, Yanlong .
ENGINEERING GEOLOGY, 2019, 263
[7]   Effects of spatial variability of soil properties on slope stability [J].
Cho, Sung Eun .
ENGINEERING GEOLOGY, 2007, 92 (3-4) :97-109
[8]   Probabilistic analysis of seepage that considers the spatial variability of permeability for an embankment on soil foundation [J].
Cho, Sung Eun .
ENGINEERING GEOLOGY, 2012, 133 :30-39
[9]   THE ACCURACY OF EQUILIBRIUM METHODS OF SLOPE STABILITY ANALYSIS [J].
DUNCAN, JM ;
WRIGHT, SG .
ENGINEERING GEOLOGY, 1980, 16 (1-2) :5-17
[10]   An overview of soil heterogeneity: quantification and implications on geotechnical field problems [J].
Elkateb, T ;
Chalaturnyk, R ;
Robertson, PK .
CANADIAN GEOTECHNICAL JOURNAL, 2003, 40 (01) :1-15