Analysis Of 3D Slope Stability Based On Evolutionary Algorithms

Slope stability has always been a troublesome problem in geotechnical engineering and infrastructure construction.The study of slope stability has a greater practical effect on actual slope monitoring and protection,and can provide engineering disaster monitoring.Some constructive data and theoretical suggestions with protection can better benefit residents living in mountainous areas.But theoretical research in this area is still immature.Traditional methods of statics are often fuzzy and one-sided,while methods of finite element software use conservative calculations to obtain larger results than industry standards.More and more experts and scholars have begun to use a combination of engineering software and evolutionary algorithms to try to improve calculation accuracy.In this paper,finite element software is also selected to conduct theoretical research through the derived stress data combined with evolutionary algorithms.The background and significance of slope stability research are introduced,and the research results of domestic and foreign experts and scholars in this area are summarized.In particular,it introduces the research results of the relatively popular strength reduction method and evolutionary algorithms in recent years for searching the minimum safety factor and slip surface in slope engineering.First,it describes four evolutionary algorithms used in this paper,including genetic algorithm,ant colony optimization algorithm,biogeography-based optimization algorithm and its improved version.The performances of the algorithms are tested through the set of benchmark functions,and the experimental results shows that the improved biogeography-based optimization algorithm is superior to other algorithms for stability and optimization ability.Second,a new method is proposed to search the time history of safety factor and slip surface based on finite element combined with evolutionary algorithms.Some parameter settings and selection issues in the finite element software FLAC～(3D)are discussed,and a three-dimension slope model is established through FLAC～(3D)Evolutionary algorithms are used to achieve the search of the time history of safety factor and the corresponding slip surface.Two calculation examples are used to verify the feasibility and applicability of the proposed search method,and the results show that the improved biogeography-based optimization algorithm has good optimization ability and stability in three-dimensional slopes.Through these calculation examples,the relationship between the safety factor and the slip surface of the three-dimension slope is further analyzed,and it is concluded that in the same three-dimension slope model,the higher the slope top position is,the smaller the minimum safety factor obtained by searching for the cut surface is,under the condition of a certain slope length.Finally,the proposed method is applied to a slope example of engineering in Shanxi Pingshuo coal mine area.The slope stability analysis of finite element software combined with evolutionary algorithms is carried out under the action of seismic load acceleration.The experimental results show that the proposed method can obtain a satisfactory safety factor value,which proves that the proposed method has good applicability.