Application Of Genetic Algorithm Neural Network And Fractal Theory For The Evaluation Of Slope Stability Of Lao Hu Ding Mine In Jixian Country

Slope is a very important geological environment of human engineering activities. It is closely related to human engineering activities. Recently, accompanied by the development of economic and demographic the engineering activities get increasingly frequent. The problem of the slope stability has become an important issue of human production and living. Scholars of geological engineering have got a relatively perfect theoretical system of slope engineering by research for so many years. But the analysis of rock slope stability is so difficult because of the rock has so many joints and fissures. These joints and fissures usually hidden in the rock and the property of the joints and fissures are so important to the rock slope stability. Therefore many scholars pay close attention to the analysis of rock slope stability.Lao hu ding mine of Tianjin Jixian is an abandoned mine, since the mining stopped, the mine has been idle. During the mining, the original topography and vegetation were severely damaged. The broken stone and the high steep slopes make so much danger to the local people's life and property and make the soil weakly cause a large number of soil erosion. These phenomena take a bad effect to the tourism industry. Therefore the analysis of rock slope stability has a significant impact to the mine geological environments and the restoration of the ecological environment.This paper selects some slopes of the mine for analysis based on the engineering geological properties of these rock slopes. First of all, through the analysis of the information and data on—site of the slopes, select the mining indicators of slope stability as a BP neural network input layer parameters and use the samples of the parameters of the neural network to build a suitable model, use the genetic algorithm to optimize the neural network's weights and thresholds and use the optimized thresholds and weights to enter the network. After the validation of the network model, use it to calculate the safety factors of the selected slopes and from the scene of the safety factor and comparison of the actual situation in order to verify the calculation results are reasonable. Secondly, base on the data on—site of the joints data, mapping out the joints Figs of the selected slopes. Then calculate the fractal dimensions of the Figs. Finally, compare the safety factors of slopes and their fractal dimensions to find out the relationship between them and argument that the use of fractal geometry theory to describe the state of fracture and the feasibility analysis of the integrity and stability of the rock mass is feasible .