A Study On Stability Prediction Of Dagangshan High Slope Based On Monitoring Data

The stability of the rock mass is an important measure of the high rock slope stability and security, displacement as a geotechnical structure evolution of feedback information can directly show the slope and rock deformation state, and displacement at the construction site is an easy method of measurement, and high accuracy, So it has significance effect in the evaluation of slope stability in the slope deformation state at different period. As an important method of the state change process in the evaluation of slope safety, slope safety monitoring measurement in the high rock slope engineering is more widely used. Due to the complexity and importance of the slope rock mass, in-depth detailed research on the theories and methods of slope safety monitoring, the monitoring information have been obtained by the analysis of the system have important significance.Based on the reading of a large number of domestic and foreign literature, the monitoring data of high slope engineering of Dagang mountain is analysed, an the same time, a series of questions of theory and methods of control slope safety monitoring system are discussed, the main research contents and results are as follows:(1) According to Dagang mountain slope engineering features, monitoring methods, the choice of the monitoring sections, as well as the arrangement of the measured point of the Dagang mountain Slope are analyzed and summarized, So that laying a solid foundation to analysis the monitoring of Dagang mountain high slope.(2) Gross errors in the two observational data may adversely affect the results of the analysis, several error treatment methods are summarized and compared, combined with their advantages and disadvantages, several methods can be targeted. This has very important significance on the displacement modeling and stability prediction of slope later.(3) Slope deformation results can be a variety of factors working together. Basied on the sampling and analysis of a large number of displacement monitoring data of Dagang mountain to establish several factors that have obvious impact on the slope displacement, using more advanced partial least squares method to establish the statistical model that describes the aging deformation characteristics of measured point M45RX of Dagang mountain high slope, although the accuracy is not ideal, but after the settlement of some factors to quantify the problem, this should have better performance.(4) The measured points are analysised and calculated by the means of Matlab Fuzzy Neural Network Toolbox, the result of the predicted data and measured data error is relatively small, this indicating that the fuzzy neural network both have the advantages of fuzzy algorithm and neural network algorithm, it has better effect in solving the displacement on the prediction problem. Fuzzy neural network can be better to predict displacement, its effect is more effective than the least squares method in the slope Dagangshan displacement prediction,(5) The slope stability near the measured point M45RX is made prediction through the load method of response rate and attribute recognition theory, the two methods come to the conclusion indicate that the stability of the measuring point in the next five months is good. Through comparison to the actual engineering, it is can be seen that the two methods both are good to play an active role to resolve the stability evaluation and prediction.