COMPARATIVE ANALYSIS OF SLOPE STABILITY PROBLEM USING ARTIFICIAL INTELLIGENCE TECHNIQUE

Abstract

The main purpose of this research work is to explore the use of artificial intelligence techniques to solve the problem of slope stability and to carry out a comparative analysis of the results. This project work includes the brief study of all the slope stability analysis methods such as limit equilibrium methods and numerical analysis methods. Thereafter, use of artificial intelligence techniques to solve the problem of slope stability is proposed to be explored followed by a comparative analysis of the results. It is proposed to explore two AI techniques namely genetic algorithm and artificial neural networks. However, only one of them, whichever turns out to be more suitable will be considered for implementation. All the implementations have been done on MATLAB software which stands for matrix laboratory. In my research work, I have solved two problems of slope stability both by conventional methods and by genetic algorithm optimization tool. In first problem, i have made selection by random search using tournament selection taking two variables in optimization tool. In 2nd problem, i have made the selection stochastic uniform that is proportional selection by taking 2 variables and 3 variables. Also in 2nd problem, I have observed the variation of results on taking 2 variables and 3 variables. Thereafter, I have compared the results obtained by conventional methods and artificial intelligence technique and finally made conclusion that artificial intelligence method is very powerful tool for solving slope stability method as it is very fast and quick method and solves the problem in 3 variables very easily.