Application Of Ansys Stress And Strain Characteristic Analysis In Jinchangba Landslide Stability Evaluations

Landslide disaster is one of the major natural disasters in China, the economic losses caused by it is as much as billions of dollars per year on average,therefore, landslide monitoring, analysis, stability evaluation and forecasting and forecast early warning work has the vital significance.Landslide deformation monitoring is a interdisciplinary which involved in Surveying Engineering, Engineering Geology, computer science technology and many other disciplines. With the improving of deformation monitoring methods and technology.It is richer than before about the obtained monitoring data. It can providing more information to grasping the landslide deformation states and master landslide deformation characteristics from analysising and processing the monitoring data. At the same time,We can combining excluding Irrelevant information?improve the accuracy of observations with using the information processing software to analysis and process monitoring data. So the result of processing monitoring data can reaction Landslide state more accurately, and building a more healthy assessmenting and forecasting System.This article takes the Jinchangba landslide as the research object. Through the early collection of local data, it was found that the deformation of the Jinchangba landslide was increased after the Guandi Hydropower Station reservoir. It seriously threaten the safety of the middle and lower reaches of the downstream hydropower station. By combining the actual situation of the landslide area to carry out the field survey, the scope of the landslide was preliminary determined. The Jinchangba landslide deformation monitoring automation system was designed and built scientifically and rationally by the deformation monitoring network, baseline points, as well as surface monitoring points. The monitoring project was based on surface deformation monitoring, environmental monitoring, deep displacement monitoring, groundwater monitoring, and supplemented by manual inspection. And through the monitoring network built by measuring robot(TM30), GPS automated data acquisition system, it can monitor and obtain the data of the cumulative displacement of the surface, the cracks, the deep displacement and the environmental rainfall of the landslide monitoring points. Based on the statistics and analysis of the monitoring data, the deformation curves of the landslide monitoring points were drawn. It was defined that the deformation rate of the Jinchangba landslide increased during the flood season, and the rainfall is the key factor to affect the landslide deformation rate. On the other hand, by combining the data of deep monitoring displacement and engineering geological survey, the position and characteristics of the sliding zone was determined, and it provided a reliable data support for landslide stability evaluation.This selection of ANSYS for the landslide stress-strain numerical analysis, which establish landslide main slide profile model and analysis its stress- strain distribution of values, as well as distribution of nature and rain conditions under normal water level. Which concluded that the landslide deformation is controlled by the gravity field, and the rainstorm has a great influence on the deformation of landslide, which is consistent with the deformation monitoring data. The limit equilibrium method used respectively in order to verify the stress-strain characteristics of the numerical accuracy of landslide stability assessment.