Simulation And Electrical Monitoring Of Slope Instability Process Under Unsaturated Conditions

Landslides are relatively serious natural geological disasters in the world,and China,as one of the countries with high frequency of landslide hazards,has countless losses caused by landslides every year,so the study of landslides is of great significance to the safety of human life and property.In recent years,due to the establishment of the Three Gorges Reservoir Area,natural factors and human factors have led to the emergence of landslides in the Three Gorges Reservoir Area one after another.This paper first introduces the necessity of studying landslide hazards,as well as the research background,research status at home and abroad,etc.By reviewing literature,data,and related exploration reports,the geological rock layer,topography and meteorological environment of a landslide were analyzed,and the factors affecting the formation mechanism of a landslide were summarized,which provided basic theoretical knowledge for landslide control and protection.Then,the COMSOL simulation software is used to establish the physical model of the research slope,and the research landslide is artificially divided into four parts of the small slope slope,and the slope instability process is simulated respectively,and the instability process of the slope under real conditions is simulated by setting boundary conditions and material properties,and the stability of the slope is analyzed based on the simulation results.Finally,the forward and inverse process of electroscopic exploration is introduced,the electric field is applied to the slope,and the types of underground rock layers of the slope are studied by the electric method,so as to define the types of underground rock layers more clearly,and provide rock formation parameters closer to the real situation for the establishment of the physical model of the slope.In the process of resistivity tomography exploration,an innovative method for the selection of the initial model was proposed,which carried out preliminary inversion by establishing different initial models at the same time,and then performed error analysis on the inversion results,selected data,fused into a new data model,and iterated,and the ordinary rock formation data and the rock formation data composed of high-resistance anomalies were tested,and the results of the experimental data were good and the error was stable,which proved the feasibility and stability of the new initial model selection method.In the subsequent exploration process of electrical inversion,the resistivity matrix was decomposed by singular value decomposition method,and multiple solved resistivity matrices were screened,reorganized,merged,and recombined into a data model by particle swarm algorithm,and this data model was compared with the reference model as the final result,and the uncertainty analysis of the results was carried out based on Bayesian probability formula,so that the interpretation of the results was more reasonable,and the real situation was used to support it.The feasibility of singular value decomposition and Bayes’ formula for the uncertainty analysis of results is proved.Finally,it is hoped that this paper will put forward targeted suggestions for the simulation and monitoring of slope instability process,and put forward targeted suggestions for slope protection and treatment.