Stability Analysis Of Soil Slope Based On Probability Method

In geotechnical engineering,more and more attention was given by researchers and engineers to uncertainties such as the variability and uncertainty inherent in the geotechnical properties.The slope stability can not necessarily be defined by a single "safety factor" determined by traditional deterministic methods of study.Recently to provide a more rational mathematical framework to incorporate different types of uncertainties in the slope stability estimation,reliability analyses and non-deterministic methods,which include probabilistic and non-probabilistic(imprecise methods)methods,have been applied widely.Evaluating the level of protection of natural slopes,road cuts,embankments,and other structures requires consideration of uncertainties and variation in properties of soil materials.The broad objective of this study is to illustrate and show to the geotechnical engineering community the importance of using probabilistic analyzes and to provide examples for its use instability of the slope.The effect of the probabilistic approach on design and performance evaluation of the slope stability is often important.Conventional slope practice focused on the safety factor cannot directly undertake uncertainty and therefore risk the adequacy of projections.The primary content and accomplishments of this article are as follows:(1)Development of the slope stability analysis method has been introduced;the deterministic analysis method and the uncertainty analysis method have been differentiated,the importance and significance of the slope stability analysis has been emphasized.And the principles and techniques of the reliability analysis approach were implemented.(2)In studying the sensitivity analysis,different parameters are used to analyze by different factors of safety those are cohesion,Fraction angle and Unit weight.Combined with the Monte Carlo simulation using the Rocscience Slide 5.0 software to analyze the stability reliability of sensitivity slope.Those factors of soil properties taken as random variables and finally and the most critical surface with different variables properties are developed.This work provided the foundation of optimal design and construction of slope protection.(3)The Probabilistic techniques are logical ways of quantifying and incorporating uncertainty into slope analysis and the process is based on Monte Carlo simulation using the popular Rocscience Slide 5.0 software is used to develop the slope analysis part of the probabilistic slope stability model and the results of this study show that the PF and the critical failure surface are greatly affected by the degree of the Coefficient of Variation(COV),the assessment of the cross-correlation of shear intensity parameters,and the typical degree of the slopes of the FS.This showed that the inverse relationship between FS and PF is nonlinear and that the degree of COV has a major impact on this relationship.The results presented in this study could be useful in further understanding the stability of the probabilistic slope and the effects of soil variability instability,with the aim of better geotechnical risk assessment and communication.