Water Longshan Slope Stability Analysis And Monitoring

The security situation of the slope is related to various aspects of people’s livesand works. It’s very necessary to research the security. The methods of slope stabilityanalysis are numerous and various. The applicability and assume of methods are notconsistent. In order to study the stability of the slope, the many kinds of methods areutilized to analyze and research. This thesis use the limit equilibrium method andnumerical analysis method to analyze the stability of slope from macroscopic viewwhile use time series analysis, gray theory method to analyze the stability of slopefrom the microscopic view under the guidance of scientific methodology, combiningShui Long Shan slope engineering example in De Xing mine.The engineering background, geological condition and hydrographic condition inShui Long Shan slope are surveyed. The landform, hydrological condition, theformation process of the geological structure and rock character in De Xing coppermine are analyzed systematically. The results of analysis show that the geology andhydrologic geology belong to a simple type in Shui Long Shan slope.TheS1S1section of Shui Long Shan slope containing the largest gradient andthe highest slope height is selected to calculate. Based on the limit equilibriummethod and numeric analysis method, Bishop method, Janbu general slice method,Spencer method and finite element strength reduction method are used to calculate thesafety factor of Shui Long Shan. The results show that the safety factor of Shui LongShan slope in the safe area and the stress and strain condition of section in asafe state. Besides, the results of Bishop method, Janbu general slice method, Spencermethod and finite element strength reduction method are consistent. These differencesof the results are caused by different theoretical foundation. Combining AUTOCAD,ANSYS and FLAC3D software modeling is simple, practical and optimizes themodeling process.According to the actual geological, hydrologic geology of Shui Long Shan slope,the result of numerical analysis and so on, the suitable monitoring program is selected.The monitoring data from281m and200m steps are selected as raw data. Grey GM (1,1) model and temporal ARMA model are built respectively by the data. Two kinds ofmodel simulation effect are compared and analyzed, receiving the conclusion that thedata of14sets is fit to adopt the grey GM (1,1) model modeling, and the data of33sets is suitable for using time series analysis ARMA model modeling. Markov chain optimization and residual GM (1,1) model optimization arerespectively utilized to optimize the having built model. The optimization resultsshow that the optimization effect of the Markov chain optimization is better than theresidual GM (1,1) model optimization. Therefore, the method of optimization selectsMarkov chain optimization.