Intelligent Analysis Of High-grade Highway Slope And Applied Research

With the rapid development of the constructions in western China, the construction of superhighway becomes more and more. For the complexity andspecialty of the geological conditions, many embankments have to be high- filled or be constructed on soft grounds. Thus it is of great importance analyzing the stability of such embankments quickly and efficiently.Firstly, on the basis of summarizing the characteristics of highway slopes, the common ways of slope failure and the reasons of slopes forming in mountain area were discussed. By deeply analyzing the common ways for slope stability analysis, a new general slice method was presented, which strictly satisfy the balance offeree and moment and needs no presupposition on slip surface, inter-slice force direction and force position. The analysis and critical slip surface searching are in deed a highly nonlinear programming question which has multi convex and object functions of which is hard to be expressed. In this paper, to solve such questions, genetic algorithm (GA) was presented, which has the ability of self study, self organizing and global convergence. For GA's prematurity, stagnation and low searching efficiency, such technology as floating-point coding, net-like initialization, algorithmic crossing and random variation were introduced to improve single GA and these technologies were also introduced into niche GA. Thus an improved niche GA was formed for the stability analysis and critical slip surface searching of high and steep slopes.In the end, the methods presented in this paper were applied in stability analyzing of high-filled embankments in Liuzhai-Shuiren highways in Guangxi and the embankments on soft ground in Linxiang-Changsha highways in Hunan. The results show that the results generated by these methods tally with practice.