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FIDING THE CRITICAL SLIP SURFACE OF A SOIL SLOPE WITH THE AID OF PARTICLE SWARM OPTIMIZATION
Abstract
In the analysis of geotechnical engineeri ng problems, limit equilibrium methods are often engaged to analyze the forces and model the problem. On the other hand, the rapid development of computing technology has e quipped a large number of methods to be employed in engineering problems, as well as geotechnical issues. These enhancement consequences the popularity of analytical limit equilibrium methods based on computer aid process. Finding the most critical slip surface is a ch allenging global optimization problem that is always improved by the latest problem solving procedures. The recent advances in Artificial Intelligence (AI) met hods are making it possible to incorporate advance learning capability into finding procedure of this unique surface. The Particle Swarm Optimization (PSO) is a suitable search method for optimizing the non-linear functions which employs the concept of bird fl ock or fish school to gain this goal. This paper utilizes a PSO algorithm in a limit equ ilibrium slope stability analysis based on the Simplified Bishop Method to find the most critical circular slip surface of a homogenous slope as a real case study. Results show that the applied technique is able to find the critical slip surface with a reasonable accuracy.
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References11
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