Improved radial movement optimization to determine the critical failure surface for slope stability analysis

2018 ◽  
Vol 77 (16) ◽  
Author(s):  
Liangxing Jin ◽  
Qixuan Feng
Author(s):  
Jayraj Singh ◽  
A. K. Verma ◽  
Haider Banka

Locating critical failure surface in a rock or soil slope is performed in stability analysis to access the optimal safe design of the slope. Finding the critical failure surface associated with a minimum factor of safety value in slope stability analysis is very cumbersome and becomes a global optimization problem in the field of geotechnical and mining engineering. The presence of many local minimal points in the search space and discontinuous function made this factor of safety margin big and proves to be a chief constraint global optimization problem. In this chapter, some meta-heuristic techniques such as genetic algorithm, particle swarm optimization algorithm are adopted for analyzing the critical failure surface. A comparative study has been done to analyze safety factor for the slope stability analysis. The outcome result acquires acceptable performance over existing methods and confirms the higher slope stability analysis. The validation and simulation design of the proposed methodology will be investigated by using “slide-tool” from rock science engineering.


2019 ◽  
Vol 92 ◽  
pp. 16014
Author(s):  
Franz Tschuchnigg ◽  
Gertraud Medicus ◽  
Barbara Schneider-Muntau

The results of slope stability analysis are not unique. Different factors of safety are obtained investigating the same slope. The differences result from different constitutive models including different failure surfaces. In this contribution, different strength reduction techniques for two different constitutive models (linear elastic - perfectly plastic model using a Mohr-Coulomb failure criterion and barodesy) have been investigated on slope stability calculations for two different slope inclinations. The parameters for Mohr – Coulomb are calibrated on peak states of element tests simulated with barodesy for different void ratios. For both slopes the predictions of the factors of safety are higher with barodesy than with Mohr-Coulomb. The difference is to some extend explained by the different shapes of failure surfaces and thus different values for peak strength under plane strain conditions. The plane strain predictions of Mohr-Coulomb are conservative compared to barodesy, where the failure surface coincides with Matsuoka-Nakai.


Sign in / Sign up

Export Citation Format

Share Document