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Landslide Monitoring Data Based On The Liangshuijing Numerical Simulation And Prediction

Posted on:2012-06-10Degree:MasterType:Thesis
Country:ChinaCandidate:D WangFull Text:PDF
GTID:2210330338474513Subject:Civil engineering
Abstract/Summary:PDF Full Text Request
The monitoring to landslide deformation which analyses the monitoring data timely, reasonably and effectively is an important part of safety monitoring of landslide deformation, and one of the important items to obtain the deformation and security situation of landslide, meanwhile, it can provide science proofs for the safety and stability conditions of the slope. In order to predicate development tendency of Liangshuijing Landslide in Guling town,Yunyang county, Chongqing based on engineering geology, monitoring data analysis and numerical simulation, the method of monitoring technology and numerical simulation is put forward. The main research work and achievements of this paper include:1. A detailed description of the scheme selection of monitoring of Liangshuijing landslide, equipment selection, layout of monitoring and methods of observation to monitor.2. Timely adjustment of design parameters and protection measures due to the collection and processing of landslide monitoring data and the steady-state analysis of the slope.3. FLAC, the advanced geotechnical engineering calculation software, is introduced in this paper. The features and usage of FLAC-3D software are investigated. The stability of Liangshuijing landslide using above mentioned software was analysis.4. The FLAC-3D predicting model was built based on the displacement deformation data of Liangshuijing landslide, and the development of displacement of the landslide was predicted.5. By analyzing monitoring data combined with theorem, Liangshuijing landslide is currently in stable - less stable state.After FLAC numerical simulation, landslide slip surface analysis, makeing a reasonable discrimination to the security and stability of landslide combined with deep displacement monitoring, displacement prediction of Liangshuijing landslide and the comparison the measured data with the prediction model, the results reveal that the model is of less prediction errors and can reach the first rank.
Keywords/Search Tags:landslide, monitoring system design, data processing and analysis, FLAC-3D, prediction
PDF Full Text Request
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