Development And Application Of Deformation Monitoring Model And Stability Evaluation For Slopes

The deformation monitoring of slope is an important content of the safety monitoring of slope, it is one of the important tasks to make timely, reasonable and effective analysis for slope observation data for getting the deformation regularities and the safety states of slope, and the safety status and the stability of the slope can be judged by the analysis results. According to the analysis of the deformation monitoring data of Xiao Wan high slope, the main contents of this paper are as follows:1. The gross error in the data will affect the precision of the result of deformation monitoring model, so the unascertained filtering (UF) and the wavelet is studied in gross error process, combine the advantage of the two methods, a colligating methods is put forward.2. Through establishing the gray monitoring model of the Xiao Wan high slope, several gray model in common use are studied deeply, that educes the equal dimension and new information dynamic gray model which new observation data is added in continuously is the best gray model.3. Based on the slope deformation monitoring data, the difference method time series model and the polynomial fitting method time series model are established respectively. Combined the lack of the application of the two models above-mentioned in the safety monitoring of the high slope, an equal dimension and new information gray time combined model is put forward, comparing with the gray model or the time series model, the model improves the forecast precision obviously.4. The application of kalman filtering in Xiao Wan high slope is studied, making filtering analysis to the deformation observation data of the slope to get and forecast the displacement status vector of the deformation observation point of the slope. Taking into account of the possible divergence problem in the kalman filtering, the paper has a research of two self-adaptive filtering, and compares the two self-adaptive filtering by analyzing the observation data.5. Analyzing detailedly and deeply to the several models above-mentioned, working over and discussing the safety monitoring models which are the same with the high slope, so providing some practical and valuable process methods to the safety monitoring of the Xiao Wan high slope.6. Having a research of the application of the fractal theories in the stability of the displacement status of the deformation observation point of the slope. An evaluation to the stability of the slope by working out the correlative dimension and the Kolmogorov entropy of the observation points is giving.