Risk Assessment of Slope Failure Using Assumption of Maximum Area of Sliding Mass and Factor of Safety Equal to Unit

被引:10
作者
Chu, Xuesong [1 ,2 ]
Li, Liang [1 ,2 ]
Cheng, Yung-ming [1 ]
机构
[1] Qingdao Univ Technol, Sch Civil Engn, Qingdao, Shandong, Peoples R China
[2] Cooperat Innovat Ctr Engn Construct & Safety Shan, Qingdao, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1155/2019/6268079
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper aims to develop an effective tool for quantifying the risk of slope failure and identifying the sources of failure risk by combining the limit equilibrium method and the assumption of maximum area of sliding mass with factor of safety=1. The assumption adopted in this study is firstly validated through the results from the homogeneous slope model, the laboratory experiment, and the smoothed particle hydrodynamics (SPH) program, respectively. Secondly, the proposed method is implemented through the quantification of slope failure risk and the identification of failure sources for a homogeneous slope and a cohesive slope. The conventional method which quantifies the failure risk based on the slip surface with minimum factor of safety (FS) is also performed to enable the comparison with the proposed method. The comparative study has demonstrated that the conventional method tends to underestimate the failure risk due to the negligence of the whole failure process as compared with the proposed method. The failure risk has a tendency to increase as vertical spatial variability of friction angle and S-u grow less significant for both proposed method and conventional method. However, the failure sources identified by the conventional method are more likely to decrease as the vertical spatial variability of S-u becomes less significant for cohesive slope, whereas the proposed method is able to find a nearly constant number of failure sources by considering the whole process of slope failure. As a result, it is worthwhile to point out that attention is highly recommended to be focused on the failure sources when the spatial variability is less significant, even if it is not considered during the risk mitigation and reinforcing works.
引用
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页数:11
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共 47 条
  • [1] Simplified quantitative risk assessment of rainfall-induced landslides modelled by infinite slopes
    Ali, Abid
    Huang, Jinsong
    Lyamin, A. V.
    Sloan, S. W.
    Griffiths, D. V.
    Cassidy, M. J.
    Li, J. H.
    [J]. ENGINEERING GEOLOGY, 2014, 179 : 102 - 116
  • [2] Three-dimensional smoothed-particle hydrodynamics simulation of deformation characteristics in slope failure
    An, Y.
    Wu, Q.
    Shi, C.
    Liu, Q.
    [J]. GEOTECHNIQUE, 2016, 66 (08): : 670 - 680
  • [3] [Anonymous], 2003, Soil slope stability analysis: Theory, methods and programs
  • [4] Slope stability analysis and discontinuous slope failure simulation by elasto-plastic smoothed particle hydrodynamics (SPH)
    Bui, H. H.
    Fukagawa, R.
    Sako, K.
    Wells, J. C.
    [J]. GEOTECHNIQUE, 2011, 61 (07): : 565 - 574
  • [5] Lagrangian meshfree particles method (SPH) for large deformation and failure flows of geomaterial using elastic-plastic soil constitutive model
    Bui, Ha H.
    Fukagawa, Ryoichi
    Sako, Kazunari
    Ohno, Shintaro
    [J]. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2008, 32 (12) : 1537 - 1570
  • [6] Two-dimensional slope stability analysis by limit equilibrium and strength reduction methods
    Cheng, Y. M.
    Lansivaara, T.
    Wei, W. B.
    [J]. COMPUTERS AND GEOTECHNICS, 2007, 34 (03) : 137 - 150
  • [7] Slope reliability analysis using length-based representative slip surfaces
    Chu, Xuesong
    Li, Liang
    Wang, Yujie
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2015, 8 (11) : 9065 - 9078
  • [8] Duncan J.M., 2005, Soil strength and slope stability
  • [9] SMOOTHED PARTICLE HYDRODYNAMICS - THEORY AND APPLICATION TO NON-SPHERICAL STARS
    GINGOLD, RA
    MONAGHAN, JJ
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 1977, 181 (02) : 375 - 389
  • [10] Quantitative risk assessment of landslide by limit analysis and random fields
    Huang, J.
    Lyamin, A. V.
    Griffiths, D. V.
    Krabbenhoft, K.
    Sloan, S. W.
    [J]. COMPUTERS AND GEOTECHNICS, 2013, 53 : 60 - 67