Slope Stability Analysis Based On Improved Fruit Fly Optimization Algorithm

There are numerous natural slopes due to the mountainous geographical environment in China,and artificial slopes have been created during the construction of infrastructure.Whether natural slope or artificial slope,it is both to easy have the potential safety hazards owing to its own characteristics and the engineering environment.Especially under external factors such as rainfall and earthquakes,the geological disasters such as collapse and landslide are more likely to happen and bringing significant losses to the national economy and people's lives and property.Therefore,slope stability analysis has always been an old and important topic in the field of geotechnical engineering.The traditional slope stability analysis usually consists of two steps.The first step is to calculate the safety factor of the slope by the limit equilibrium method or the strength reduction method.The second step is to determine the critical slip surface of the slope.In general,using the limit equilibrium method to calculate the safety factor of the soil slope can meet the engineering requirements.And the research of that has matured.Determining the critical slip surface of a slope can be attributed to the optimization problem of complex nonlinear multimodal functions.Scholars have proposed different ways to solve this problem.The use of intelligent optimization algorithms to search for the critical slip surface of slopes has become a research trend in recent years with the development of computers and the penetration of artificial intelligence into all walks of life.This paper briefly introduces the research background and significance of the subject,the research status of the slope stability analysis method and the intelligent optimization algorithm.Then this paper explains the principle and steps of the standard Fruit Fly Optimization Algorithm and analyzes the algorithm parameters.It is found that the Random Value has a great influence on the algorithm optimization process.Based on the standard Fruit Fly Optimization Algorithm,the Random Value is changed to the adaptive value.And the idea of Simulated Annealing Algorithm is integrated into the standard Fruit Fly Optimization Algorithm to obtain the improved Fruit Fly Optimization Algorithm.The experimental results show that the new algorithm has a significant improvement in convergence speed and optimization efficiency compared with the original algorithm.This paper expounds the basic principles and derivation process of the universal strip method in the limit equilibrium method,and introduces the process of transforming the general strip method into Bishop method and MP method.Combining the Bishop method with the improved Fruit Fly Optimization Algorithm for the search of critical arc slip surface,the search model was established and implemented by MATLAB programming.The applicability and feasibility of the algorithm in the arc sliding surface search were verified by two examples.In addition,the algorithm is combined with the MP method for non-circular sliding surface search.A two-layer search strategy is proposed to improve the optimization speed and accuracy of the algorithm when searching for non-circular sliding surface.The method proposed in this paper is applied to searching the critical slip surface of the Shiyan Motor City Slope.Firstly,the finite element software Geo-studio was used to analyze the seepage and stability of the slope,and the safety factor of the typical section of the slope was 1.056.Then the improved Fruit Fly Optimization Algorithm is used to search the critical slip surface of the typical section of the slope.The results are in good agreement with the software analysis results,indicating the applicability of the proposed method in practical engineering.