Research Of Landslide Early Warning Technology On Ion-Absorbed Rare-Earth Mineral

The thesis studied the landslide warning system of in-situ leaching of ionic type rare-earth ore by the way of indoor experiment and numerical simulation.And conclusions can be draw as follows.(1)Soil samples has been taken and an in-situ leaching model has been constructed.After then,the thesis studied the in-situ leaching of ionic type rare earth slope by the simulation model in the laboratory.The moisture content(?),density(?),permeability coefficient(k),cohesive force(C),internal friction Angle(?),grain size of clay(GS)of soil samples in the different periods of in-situ leaching has been tested.Those experiments(2)A numerical model of rare earth mine slope has been built on the basis of laboratory test.The whole process of Landslide damage has been simulated by using the FLAC3 D numerical simulation software.The data of the slope numerical model' displacement of the slop top,displacement velocity of the slope top,displacement of the slop base,displacement velocity of the slop base,displacement between slope top and slop base,stress of slop top,stress velocity of slop top,stress of slop base,stress velocity of slop base,slop safety factor,during that process,has been acquired.The characteristics of the above parameters has been analyzed,and their characteristic equations has been given.(3)A landslide warning model has been studied on the basis of laboratory test and numerical simulation.The Landslide warning indexes system has been built,and displacement of the slop top,displacement velocity of the slope top,displacement of the slop base,displacement velocity of the slop base,displacement between slope top and slop base,stress of slop top,stress velocity of slop top,stress of slop base,stress velocity of slop base are contained.The critical value of slope safety factor has been determined with reference to the relevant design specifications.And then,the critical value of the warning index has been determined by their own characteristic equations.The each index has been discriminated by the critical value method.Four state of warning has been set according to the number of indexes which is higher than the critical value.And the state differs in ?,?,?,?.Finally,the slop warning model has been built.(4)Combining with the remote online monitoring system,one ionic type rare earth slope has been analyzed by using the slop warning model.The result shows that the landslidewarning state of the slope is state ? during 11 th leaching week.It means that the slope is in steady state,and it is unnecessary to publish landslide warning.