Slope stability evaluation has become a major problem in highway construction, and the rheological damage of soil mass is an important factor which influences the deformation, stability and monitoring of slope. In the process of use, many factors affect the safety and stability of slope. Through the establishment of dynamic evolution model of slope, the numerical simulation is carried out according to the mechanical analysis and deformation data, to evaluate the stability of the slope. Furthermore, through the analysis of the time extension and the specific working conditions, so as to achieve the purpose of predicting the future development of the slope. The main research contents of this paper include:(1) The basic structure and characteristics of the remote monitoring system are introduced. Combined with advanced monitoring equipment, the real-time monitoring of expressway slope is conducted. The monitoring data is managed by the hospital management mode and the dynamic analysis is made, to reveal the mechanism of the aging deformation of the expressway slope.(2) On the basis of traditional limit equilibrium, do strength Reduction,based on the theoretical research results, a new method for highway slope damage diagnosis is proposed, which consider the internal geological conditions, the external deformation response characteristics and the mechanical evolution process. It is used in typical highway slope and can be used to guide the engineering practice through constant calibration and improvement.(3) With the C language, by programming calculation, got slope deformation curve,according to the criterion of failure to determine the failure time of slope. Comparativeanalysis with standard monitoring curve, determine the amount of the impact of various influencing factors.The slope stability evaluation method used in this paper combined the geological conditions, the mechanism of internal mechanical failure process and the monitoring of the displacement of the slope, so as to evaluate the slope stability and development trend more objectively. |