Rock slopes stability reliability assessment based on geometrical properties

Probabilistic analysis of rock slope stability has been used as an effective tool to evaluate uncertainty so prevalent in variables and has received considerable attention in the literature.Generally, uncertainties in the geometrical properties and rock parameters are two main observations in reliability assessment. In this research the geometrical properties are selected as stochastic variables for rock slope stability with plane sliding. The Monte Carlo simulation is employed in probabilistic analysis and reliability assessment. The selected stochastic parameters are angle of failure surface, height of the overall slope and angle of slope face, which are modeled using a truncated normal probability distribution function. The results show the safety factor has a distribution near normal.Sensitivity analysis and parametric study illustrate the angle of failure surface is the most effective parameter in rock slope stability with plane sliding.