Researches On Analysis Of Slope Stability Based On Grey Theory And Neural Network Techlonogy

There are more and more mountainous area exploited with the development of country basic construction projects. There will appear a great deal of problems about slope stability. These slopes are always the important factors which affects the project is successful and secure or not. It will restricts the project's possibility, safety and economy etc. And affects the investment and the performance of the engineering construction to a large extent. So the stability problem of the slope stability is also increasingly outstanding, therefore, carrying on the slope stability research to have important realistic meaning.This thesis reviews the slope stability's development process and various analysis theory's development. Pass to various compare within the slope stability fix quantify, certainty, soft computing and uncertainty method, thought to adopt these two kinds of methods of grey system theory and the BP neural network method to carry on the analysis to the slope stability is a more convenient on the engineering. Basic principle, basic theory, basic method, main contents and mathematics theory of grey system theory are introduced. For the factors of the influence slope stability, not only need to know each factor's importance that affect slope stability, but also to know the degree of importance. This thesis introduces the grey relational analysis which can turn the factors' important to sequence and quantity.This thesis makes use of the grey relational analysis to find out the relational sequence of the slope stability influence factors and gives corresponsive means. Estimates the slope stability using BP network of artificial neural network in MATLAB toolbox and compares the analysis results gained by limit equilibrium method. It can be gained weighting coefficient by using grey relational analysis. Simulates this data that calculated again because of coefficient using BP net work. This thesis sets up non-equigap GM(1,1) model to predict displacement of slope. It is reasonable that make use of multi-method in complex problem of slope stability.