Stability and reinforcement analysis of rock slope based on elasto-plastic finite element method

Yao-ru Liu , Zhe-shu Wu , Qiang Chang , Bo Li , Qiang Yang

Journal of Central South University ›› 2015, Vol. 22 ›› Issue (7) : 2739 -2751.

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Journal of Central South University ›› 2015, Vol. 22 ›› Issue (7) : 2739 -2751. DOI: 10.1007/s11771-015-2804-3
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Stability and reinforcement analysis of rock slope based on elasto-plastic finite element method

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Abstract

The rigid body limit equilibrium method (RBLEM) and finite element method (FEM) are two widely used approaches for rock slope’s stability analysis currently. RBLEM introduced plethoric assumptions; while traditional FEM relied on artificial factors when determining factor of safety (FOS) and sliding surfaces. Based on the definition of structure instability that an elasto-plastic structure is not stable if it is unable to satisfy simultaneously equilibrium condition, kinematical admissibility and constitutive equations under given external loads, deformation reinforcement theory (DRT) is developed. With this theory, plastic complementary energy (PCE) can be used to evaluate the overall stability of rock slope, and the unbalanced force beyond the yield surface could be the identification of local failure. Compared with traditional slope stability analysis approaches, the PCE norm curve to strength reduced factor is introduced and the unbalanced force is applied to the determination of key sliding surfaces and required reinforcement. Typical and important issues in rock slope stability are tested in TFINE(a three-dimensional nonlinear finite element program), which is further applied to several representatives of high rock slope’s stability evaluation and reinforcement engineering practice in southwest of China.

Keywords

stability analysis / rock slope / plastic complementary energy (PCE) / unbalanced forces / elasto-plasticity FEM

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Yao-ru Liu, Zhe-shu Wu, Qiang Chang, Bo Li, Qiang Yang. Stability and reinforcement analysis of rock slope based on elasto-plastic finite element method. Journal of Central South University, 2015, 22(7): 2739-2751 DOI:10.1007/s11771-015-2804-3

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