Author:
Ray Rahul,Roy Lal Bahadur,Choudhary Shiva Shankar
Abstract
Soil is a heterogeneous medium and due to which the parameters on which soil slope stability depends are having high variability, which makes the analysis a complex problem. With time to take into account the variability in soil parameter the research approach has shifted from deterministic approach towards the probabilistic approach. This paper describes the application of probabilistic approach using soft-computing technique i.e. Adaptive Network Fuzzy Inference System (ANFIS) to study the soil slope reliability based on slope stability. The slope stability of soil depends on the parameters c (cohesion), ? (angle of shearing resistance) and ? (unit weight), which are taken as input variables and Factor of Safety of soil slope (FOS) as output. Also the model performance assessed using performance indices i.e. R2, VAF, MAPE, RPD, RMSE etc. The results analysis showed that ANFIS performed good. Therefore, ANFIS can be used as reliable soft computing technique for analyzing slope stability of soil.
Publisher
World Energy and Environment Technology Ltd - WEENTECH
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