Abstract

In the framework of limit analysis, most previous studies of nonhomogeneous slopes have only involved the spatial variation of cohesion, whereas cases involving the spatially varying friction angle have rarely been studied. The main aim of the study presented in this paper was to propose an effective approach for analyzing slopes with friction angle spatial variability. According to the upper-bound theorem of limit analysis, a new two-dimensional (2D) failure mechanism using a spatial discretization technique was studied. With this mechanism, the slip surface was composed of a series of straight lines, instead of the continuous curve used in conventional limit analysis. The mechanism-generation procedure for the slip surface is described herein, and the mathematical formulations for the weight work rate and energy dissipation are also presented. After a discussion about accuracy and efficiency, the validation of the proposed approach, conducted previous achievements and numerical simulations, is presented. The good agreement shows that the proposed mechanism is effective. Finally, the analysis of the stability of nonhomogeneous slopes, with friction angles varying linearly with depth, and the investigation into the effects of the slope angles and friction angle distributions are presented.

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Acknowledgments

In the preparation of this paper, financial support was received from the National Natural Science Foundation (Grant 51408180). This financial support is greatly appreciated.

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 18Issue 12December 2018

History

Received: Sep 8, 2017
Accepted: May 29, 2018
Published online: Oct 3, 2018
Published in print: Dec 1, 2018
Discussion open until: Mar 3, 2019

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Associate Professor, School of Automotive and Transportation Engineering, Hefei Univ. of Technology, Hefei 230009, China. Email: [email protected]
Master Student, School of Automotive and Transportation Engineering, Hefei Univ. of Technology, Hefei 230009, China. Email: [email protected]
Ph.D. Student, Laboratory 3SR, CNRS UMR 5521, Grenoble Alpes Univ., Grenoble 38041, France (corresponding author). ORCID: https://orcid.org/0000-0002-6864-828X. Email: [email protected]
Daniel Dias [email protected]
Professor, School of Automotive and Transportation Engineering, Hefei Univ. of Technology, Hefei 230009, China. Email: [email protected]
Assistant Professor, School of Automotive and Transportation Engineering, Hefei Univ. of Technology, Hefei 230009, China. Email: [email protected]
Chaoqun Hou [email protected]
Associate Professor, School of Automotive and Transportation Engineering, Hefei Univ. of Technology, Hefei 230009, China. Email: [email protected]

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