Determinationof critical failure surface in slope stability analysisusing optimization algorithms (PSO & GA)
عنوان مقاله: Determinationof critical failure surface in slope stability analysisusing optimization algorithms (PSO & GA)
شناسه ملی مقاله: GEOTEC01_465
منتشر شده در اولین کنفرانس ملی مهندسی ژئوتکنیک در سال 1392
شناسه ملی مقاله: GEOTEC01_465
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 GeotechnicalEngineering, Department of Civil andEnvironmental Engineering, Shiraz University of Technology, Shiraz, Iran
خلاصه مقاله:
Ali Johari - Assistant Professor, Department of Civil and Environmental Engineering, Shiraz University of Technology, Shiraz, Iran
Masoud Sahebkar - Ms Candidate of GeotechnicalEngineering, Department of Civil andEnvironmental Engineering, Shiraz University of Technology, Shiraz, Iran
The use of limit equilibrium methodsare 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 failuresurface.For this purpose the Morgenstern–Price method is used to find the factor of safety. A computerprogram was coded by MATLAB for searching the minimum factor of safety.The result of a exampleiscompared withstress-deformation method using PLAXISsoftware for one example. It shows thedetermined safety factors 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/228880/