Technical Papers
Jul 19, 2018

Upper-Bound Analysis for Stone Retaining Wall Slope Based on Mixed Numerical Discretization

Publication: International Journal of Geomechanics
Volume 18, Issue 10

Abstract

The ultimate bearing capacity of masonry retaining wall slope is studied by combining the upper-bound theorem, the mixed numerical discretization, and the linear programming. First, the soil mass is discretized by triangular finite elements to simulate its continuum mechanics characteristics, and the stone masonry wall is discretized by rigid finite elements (RFEMs) to simulate its noncontinuum mechanics characteristics. Meanwhile, constraint conditions for kinematically admissible velocity fields are established, and then the plastic flow conditions of interfaces between finite elements and RFEMs are established. The upper-bound linear programming model for the ultimate bearing capacity of masonry retaining wall slope is built by taking the overload coefficient as the objective function, and the dual simplex method is used to solve the linear mathematical programming problem. Last, the ultimate load (or the safety factor) of the slope and the corresponding velocity fields could be obtained directly. Two examples have proved the validity of the proposed method. The research effort in this article is an attempt to introduce the mixed numerical discretization into the limit analysis.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (Grant 51564026).

References

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 18Issue 10October 2018

History

Received: Jun 22, 2017
Accepted: Apr 10, 2018
Published online: Jul 19, 2018
Published in print: Oct 1, 2018
Discussion open until: Dec 19, 2018

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Authors

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Faculty of Civil Engineering and Mechanics, Kunming Univ. of Science and Technology, Kunming, Yunnan, 650500, China (corresponding author). Email: [email protected]
Yu Zhou
Faculty of Civil Engineering and Mechanics, Kunming Univ. of Science and Technology, Kunming, Yunnan, 650500, China.
Yakun Guo
School of Engineering, Univ. of Bradford, Richmond Rd., Bradford BD7 1DP, UK.

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