تعيين سطح گسيختگي بحراني در پايداري شيرواني خاكي چندلايه با الگوريتم ژنتيك

Locating the critical failure surface in soil slope stability with multi layer by genetic algorithm

Slope stability in soil is important and interesting in soil mechanic and civil engineering. Slope stability optimization methods can help us to find the lowest factor of safety. In the soil slope stability, engineers face a large search space to locate the critical failure surface in the soil layers. In this paper, various methods for determination failure surface investigated and briefly discussed and a genetic algorithm (GA) optimization is developed to solve this factor of safety minimization problem. The results show that a genetic algorithm (GA) can be successfully employed to locate the critical failure surface in a multi layer soils on the stability of soil slopes

Slope stability in soil is important and interesting in soil mechanic and civil engineering. Slope stability optimization methods can help us to find the lowest factor of safety. In the soil slope stability, engineers face a large search space to locate the critical failure surface in the soil layers. In this paper, various methods for determination failure surface investigated and briefly discussed and a genetic algorithm (GA) optimization is developed to solve this factor of safety minimization problem. The results show that a genetic algorithm (GA) can be successfully employed to locate the critical failure surface in a multi layer soils on the stability of soil slopes