Technical Papers
Apr 1, 2019

Antislip Stability Analysis of Gravity Retaining Wall by Probabilistic Approach

Publication: International Journal of Geomechanics
Volume 19, Issue 6

Abstract

In this paper, the antislip stability assessment of a gravity retaining wall is analyzed by considering the spatial variability of soils based on the theory of random fields. The effects of spatial correlation lengths of the soil/wall base friction coefficient and cohesion on the antislip safety factor of a gravity retaining wall were investigated. The numerical results indicated that the effects of spatial correlation length of the soil/wall base friction coefficient on the probability of failure (Pf) were greater than those of cohesion on the probability of slip failure. Moreover, when comparing different levels of failure probability, the antislip factor of safety corresponded to different constants when values of normalized spatial correlation length were relatively small. In other words, the antislip factor of safety increases with a decreasing failure probability, whereas the antislip factor of safety is essentially equal to 1 when the values of normalized spatial correlation length are relatively large. In addition, the numerical results obtained using the proposed method were in good agreement with those obtained using Monte Carlo simulation.

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Acknowledgments

The work was supported by the National Natural Science Foundation of China (51679017 and 51839009), project 973 (grant 2014CB046903) and by the Open Research Fund Program of Hunan Provincial Key Laboratory of Geotechnical Engineering for Stability Control and Health Monitoring (E21710).

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 19Issue 6June 2019

History

Received: Apr 19, 2018
Accepted: Nov 20, 2018
Published online: Apr 1, 2019
Published in print: Jun 1, 2019
Discussion open until: Sep 1, 2019

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Authors

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Professor, School of Civil Engineering, Chongqing Univ., Chongqing 400044, China (corresponding author). Email: [email protected]
Ph.D. Candidate, School of Civil Engineering, Chongqing Univ., Chongqing 400045, China. Email: [email protected]
X. C. Huang [email protected]
Ph.D. Candidate, Hunan Provincial Key Laboratory of Geotechnical Engineering for Stability Control and Health Monitoring, Hunan Univ. of Science and Technology, Xiangtan 411201, China. Email: [email protected]
M.S. Student, School of Civil Engineering, Chongqing Univ., Chongqing 400045, China. Email: [email protected]

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