DEFORMATION STATISTICAL REGRESSION ANALYSIS MODEL OF SLOPE AND ITS APPLICATION

Taking into account the influential factors including time,temperature and rainfall,a deformation statistical regression analysis model for slope is established. The visualization for deformation regression and forecast is realized through Microsoft Visual C++ and stepwise regression algorithm in self-developed monitoring information management and monitoring data analysis network system of geotechnical slope engineering. The system has been used to conduct statistical regression analysis of monitoring data of a large-scale high slope of Longtan Hydropower Station,and the results indicate that the statistical regression data for deformation are accordant with measured data,in which the statistical multiple correlation coefficients between them are large and the surplus standard deviation is small. The statistical regression analysis model efficiently reflects the changing law and developing trend of deformation of slope. The model and system provide efficient analysis means for evaluating safety properties and forecasting deformation development trend of slope.