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Determination of critical failure surface in slope stability analysis using optimization algorithms (PSO & GA)

عنوان مقاله: Determination of critical failure surface in slope stability analysis using optimization algorithms (PSO & GA)
شناسه ملی مقاله: GEOTEC01_472
منتشر شده در اولین کنفرانس ملی مهندسی ژئوتکنیک در سال 1392
مشخصات نویسندگان مقاله:

Ali Johari - Assistant Professor, Department of Civil and Environmental Engineering, Shiraz University of Technology, Shiraz, Iran
Masoud Sahebkar - Ms Candidate of Geotechnical Engineering, Department of Civil and Environmental Engineering, Shiraz University of Technology, Shiraz, Iran

خلاصه مقاله:
The use of limit equilibrium methods are the common approaches for determining of soil slope stability ingeotechnical engineering project. In these methods many researchers tend to find a circular criticalfailure surface for homogeneous soils, but failure surfaces can be non-circular especially for layeredslopes. Finding of critical failure surface of a general soil slope is a difficult problem as the non-convexand multiple minima exist of the safety factor objective function. In this paper simple genetic algorithmand particle swarm optimization methods are employed to find the critical non-circular failure surface.For this purpose the Morgenstern–Price method is used to find the factor of safety. A computer programwas coded by MATLAB for searching the minimum factor of safety. The result of a example is comparedwith stress-deformation method using PLAXIS software for one example. It shows the determined safetyfactors are very close to each other for two methods

کلمات کلیدی:
Critical failure surface, Factor of safety, Slope stability, Particle swarm optimization, Genetic algorithm

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/228887/