# METHOD TO ESTIMATE THE SYSTEM PROBABILITY OF FAILURE FOR SLOPE STABILITY ANALYSIS

## Authors

• Tanan Chub-Uppakarn

## Keywords:

Slope stability analysis, Rainfall-induced landslides, Random variable, Probability of failure

## Abstract

Uncertainty in soil slope is one of the problems in slope stability analysis because natural soil
slope is heterogeneous that is difficult to predict time and location of the failure. This problem leads that only
conventional approaches do not take into account many risks related to slope safety. The optimization of this
problem is carried out using probabilistic slope stability analysis. This paper described a method to calculate
the probability of failure of slope stability analysis. The system probability of failure is defined as the
complement of the sum of the probability of failure corresponding to sliding failure. Furthermore, this paper
shows time-steps in the developments of factors of safety in soil slope and perform natural slope stability
analyses by probabilistic approach on a hill range. Sensitivity result indicated that the effective angle of
internal friction (φ) and the angle of soil slope (β) are most significant parameters and choose to be random
variable parameters. Probabilistic for soil slope failure is calculated using conventional design equations,
mean and coefficient of variation values for the random variable parameters as input. GeoStudio’s program
(SEEP/W and SLOPE/W application) have been employed to describe the process of rainfall infiltration
under positive and negative pore-water pressures and slope stability analyses, respectively. Bishop’s
simplified method was used in conjunction with Monte Carlo Simulation to determine in term of the
probability of failure (Pf). This approach is to prove the best confidence result in slope stability analysis.

2018-05-28

## How to Cite

Chollada Kanjanakul, & Tanan Chub-Uppakarn. (2018). METHOD TO ESTIMATE THE SYSTEM PROBABILITY OF FAILURE FOR SLOPE STABILITY ANALYSIS. GEOMATE Journal, 14(45), 162–169. Retrieved from https://geomatejournal.com/geomate/article/view/2606

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