Study On Monitoring And Prediction Of Layered Rock Slope Stability Of Highway In Mountainous Region

In terms of the methodology of system science, and in combination with the modern mathematics theories, the nonlinear science theories and the artificial intelligent technologies as well, this study deals with the stability of the layered rock slope of a section of Hurongxi highway which links Yichang city and Enshi city in Hubei Province by using techniques of field survey, site monitoring and numerical simulation. Through the investigation of the rock slope stability and the classification of the rock slopes with failure proneness along the whole section of Hurongxi highway, and the selection of typical slopes, this dissertation presents a comprehensive landslide prediction approach for high layered rock slopes of highway in mountainous areas considering three aspects, i.e., the characterization of engineering geology, the summarization of monitoring data, and the prediction of slope displacements. The main conclusions are summarized as follows:1.The engineering geological condition of the area of interest is systematically analyzed, and on the basis of the analysis of affecting factors of slope stability, the slope failure modes along the whole section of Hurongxi highway are summarized, the classification criteria for stability of layered rock slopes in mountainous areas, which is based on the structural interface features, are proposed. Moreover, according to these classification criteria, the stability classification of all the highway slopes is performed. The results of stability classification indicate that amongst all the slopes along this highway section, the slopes which are liable to slide are the hard rock bedding slopes and the soft rock slopes.2,Compared with the conventional methods for deformation measurement, the GPS technique can not be affected by the weather and vision condition, on this account, it can be used to monitor the slopes of highways in mountainous regions. Nevertheless, to reduce the observation error, countermeasures have to be adopted from the aspects of monitoring techniques and the data processing. Through field test, this study proves that the GPS technique can favorably meet the precision request of slope monitoring.3,For the concentrated-tension-type cable and the dispersive-pressure-type cable, their differences on the anchoring mechanism, the failure modes and the design methods are analyzed, and a corresponding device for monitoring the stress state of the dispersive-pressure -type cables is developed.4,The evolution equation of slope system based on displacement sequence is deduced, and the PSO algorithm as well as the RBF NN algorithm for slope displacement forecasting are proposed by using the non-linear science theory and the artificial intelligent technology. The maximum forecasting time and the optimal forecasting time for slope displacement forecasting of highway in mountainous regions are given. Furthermore, the comprehensive judgement criterion for slope stability of highway in mountainous regions based on deformation analysis is proposed.5,Taking three typical slopes along Hurongxi highway as the examples, the slope stability prediction is conducted considering three aspects, i.e., the characterization of engineering geology, the summarization of monitoring data, and the prediction of slope displacements. Consequently, the validity as well as the applicable value of the slope stability prediction is verified from the viewpoint of practical engineering.