Geomechanics and Engineering

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A set of failure variables for analyzing stability of slopes and tunnels

  • Kim, Jun-Mo (School of Earth and Environmental Sciences, Seoul National University) ;
  • Lee, Sungho (School of Earth and Environmental Sciences, Seoul National University) ;
  • Park, Jai-Yong (School of Earth and Environmental Sciences, Seoul National University) ;
  • Kihm, Jung-Hwi (Department of Renewable Energy and Resources, Jungwon University) ;
  • Park, Sangho (School of Mechanical Engineering, Chungnam National University)
  • Received : 2019.02.20
  • Accepted : 2019.11.04
  • Published : 2020.02.10
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Abstract

A set of relatively simple five local shear and tension failure variables is presented and then implemented into a generalized poroelastic hydromechanical numerical model to analyze failure potential and stability of variably saturated geologic media. These five local shear and tension failure variables are formulated from geometrical relationships between the Mohr circle and the Mohr-Coulomb failure criterion superimposed with the tension cutoff, which approximate together the Mohr effective stress failure envelope. Finally, fully coupled groundwater flow and land deformation in two variably saturated geologic media, which are associated with a slope (Case 1) and a tunnel (Case 2), respectively, and their failure potential and stability are simulated using the resultant hydromechanical numerical model. The numerical simulation results of both cases show that shear and tension failure potential and stability of variably saturated geologic media can be analyzed numerically simply and efficiently and even better by using the five local shear and tension failure variables as a set than by using the conventional factors of safety against shear and tension failures only.

Keywords

Acknowledgement

Supported by : National Research Foundation (NRF), Seoul National University

This work was mainly supported by the National Research Foundation (NRF), Ministry of Science and Information and Communications Technology (MSIT), Korea under grant no. 2014-015-C00594. This work was also supported by the Seoul National University Foundation (SNUF), Seoul National University (SNU), Korea under grant no. 2013-3-11. Sungho Lee and Jai-Yong Park were supported in part by the Brain Korea 21 Project funded by the National Research Foundation (NRF), Ministry of Science and Information and Communications Technology (MSIT), Korea. The authors would like to thank the Editorin-Chief Professor Gye-Chun Cho at the Korea Advanced Institute of Science and Technology (KAIST) for handling this paper and the two anonymous reviewers for their invaluable and constructive review comments on this paper.

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