Study On The Dynamic Increment Displacement Response Ratio Of The Landslide Induced By Trservoir Water And Its Stability Evolution Rules

Three Gorges region of the Yangtze River is landslide geologic disasterfrequently-occurring region, where debris landslide is well developed in this region. In2003, the rising of reservoir water level from135m to175m lead to the submergingsome landslide. The stability of landslide in this region will be dramatically influencedby the seepage flow resulting from the changes of reservoir water level. Therefore, thedynamic action law of reservoir water in debris landslide and the stability evaluation area complicated theoretical and application subject.Selecting the Three Gorges reservoir region as the research background, supported byprojects of the National Natural Science Foundation of China"Landslide DisastrousDynamics Mechanism of the Compound Water Environments in Major WaterConservancy Engineering Region and its prediction model research (CodeNo:41372297)" and the Special Research Foundation of Doctoral Program of theMinistry of Education "Debris landslides seepage unload-load dynamic predictionmethod and instability criterion research (Code No:20113721110002)", selectingHuangtupo landslide in the Three Gorge reservoir region as the example, the thesis hascarried out a study on the dynamic response of the debris landslide by means of thenumerical simulation software-GeoStudio. Finally, applying Dynamic IncrementDisplacement Response Ratio theory analyze the action law of reservoir water in debrislandslide, some results are summarized as follows:1. On the basis of the systematical analysis of the reservoir water storage and thereservoir operation, and analysis of the action mechanism of reservoir water levelchanges on the landslide, the thesis takes the Three Gorges reservoir-type debrislandslide as example to numerical simulation analysis from a few factors that reservoirwater level fluctuation rate, permeability coefficient, the thickness, length and angle ofslope using the finite element software Geo-studio and saturated&non-saturatedseepage theory. The thesis receives the influence law of these factors to slope stabilitycoefficient, and the landslide dynamic role in the process of load and unload during the reservoir water level fluctuation, which give a basis to the research of DynamicIncrement Displacement Response Ratio theory.2. By means of non-linear Dynamic Increment Displacement Response Ratio theoryto the prediction of debris landslide, the feasibility of using groundwater changes asload dynamic parameter is discussed, so load dynamic parameter, load dynamicresponse parameter and Dynamic Increment Displacement Response Ratio aredetermined.3. In terms of numerical simulation and saturated&non-saturated seepage theory,dynamic function of reservoir water in debris slope, groundwater seepage distributionlaw are simulated, stress field and displacement field distribution law of coupledseepage field self gravity stress field are also simulated. In the ideal debris landslidemodel, the stability coefficient is decreased as reservoir water descended with rangerates in typical debris landslide.4. Reservoir water changes is selected as load dynamic parameter, displacementchanges, velocity changes are selected as load dynamic response parameters, soestablish the model of Dynamic Increment Displacement Response Ratio. Thecorrelation between Dynamic Increment Displacement Response Ratio and slopestability is studied, some conclusion can be drawn as follows: If Dynamic IncrementDisplacement Response Ratio is1or fluctuated near1, slope is in stable stage; ifresponse ratio is greater than1and last for a period, the slope is to unstable; if responseratio is much greater than1, and tends to∞, slope is about to losing stability.5. Finally, this thesis take typical debris landslide-Huangtupo Landslide in BadongCounty Hubei Province as the example, Calculating stability results in this thesiscoincident with Dynamic Increment Displacement Response Ratio calculate elevationresults using practical monitoring data. The effective of Dynamic IncrementDisplacement Response Ratio theory in debris landslide prediction have been verifiedfurther.