Study On The Slope Reliability Of Roadbed Filling Soil Based On Measured Soil Parameters

In this paper,based on the measured physical and mechanical parameters of roadbed slope filling,the soil parameter space along with the airport is generated using Matlab and Kriging methods for the distribution of water content and compactness of the slope under specific time nodes.Use Geoslope software to calculate the safety coefficient of slope under spatial variation of soil parameters;The Kriging method is used to calculate the slope failure probability rapidly,and the sensitivity of the slope failure probability is analyzed.First of all,conventional laboratory tests are carried out on subgrade filling,The physical parameters such as grading,maximum dry density and optimum moisture content were obtained.The saturated moisture content in different compaction conditions is obtained.The relationship between shear strength parameters,compactness and moisture content of subgrade filling soil is also discussed.Secondly,field water content test and layered compaction test were conducted to obtain the water content of different measurement points in different time periods.Kriging interpolation method was used to fit the water content distribution in the section of slope.The mean value,standard deviation and probability distribution of compaction in different zones were obtained by means of soil non-nuclear density instrument.Then,by programming Matlab program,the measured distribution space of slope soil strength parameter is generated with the airport.The safety coefficient of spatial variation slope of soil parameter was solved by Geoslope software.LHS sampling and Kriging method were used to calculate and analyze the failure probability of slope at different time points(water content)and obtain the time-history curve of the failure probability of slope.Finally,parameter sensitivity analysis was carried out to study the effect of the variation of compaction mean and standard deviation on failure probability,and then the influence degree of different compaction partition on failure probability was obtained.