Particle swarm optimization algorithm for the location of the critical non-circular failure surface in two-dimensional slope stability analysis

2007 ◽  
Vol 34 (2) ◽  
pp. 92-103 ◽  
Author(s):  
Y.M. Cheng ◽  
Liang Li ◽  
Shi-chun Chi ◽  
W.B. Wei
Keyword(s):  
Particle Swarm Optimization ◽  
Stability Analysis ◽  
Slope Stability ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Failure Surface ◽  
Slope Stability Analysis ◽  
Two Dimensional ◽  
Swarm Optimization

scholarly journals The Contribution of Particle Swarm Optimization to Three-Dimensional Slope Stability Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Roohollah Kalatehjari ◽  
Ahmad Safuan A Rashid ◽  
Nazri Ali ◽  
Mohsen Hajihassani
Keyword(s):  
Particle Swarm Optimization ◽  
Stability Analysis ◽  
Slope Stability ◽  
Three Dimensional ◽  
Particle Swarm ◽  
Slope Stability Analysis ◽  
Swarm Optimization ◽  
Finite Element Software ◽  
Soil Slopes ◽  
3D Slope Stability

Over the last few years, particle swarm optimization (PSO) has been extensively applied in various geotechnical engineering including slope stability analysis. However, this contribution was limited to two-dimensional (2D) slope stability analysis. This paper applied PSO in three-dimensional (3D) slope stability problem to determine the critical slip surface (CSS) of soil slopes. A detailed description of adopted PSO was presented to provide a good basis for more contribution of this technique to the field of 3D slope stability problems. A general rotating ellipsoid shape was introduced as the specific particle for 3D slope stability analysis. A detailed sensitivity analysis was designed and performed to find the optimum values of parameters of PSO. Example problems were used to evaluate the applicability of PSO in determining the CSS of 3D slopes. The first example presented a comparison between the results of PSO and PLAXI-3D finite element software and the second example compared the ability of PSO to determine the CSS of 3D slopes with other optimization methods from the literature. The results demonstrated the efficiency and effectiveness of PSO in determining the CSS of 3D soil slopes.

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