PSEUDO-STATIC RELIABILITY STABILITY ANALYSIS OF INFINITE SLOPE WITH TRIANGLE WEDGE FAILURE

The sliding of natural slopes is usually governed by combination of soil parameters and earthquake characteristics. The inherent variability of these parameters which affect seismic slope stability dictates that the problem is of a probabilistic nature rather than being deterministic. Stochastic analysis of slope seismic stability has received attention in the literature and has been used as an effective tool to evaluate uncertainty so prevalent in the variables. This paper provides a probabilistic framework with limit equilibrium based program coded in MATLAB to evaluate the reliability indices of seismic stability of slope with consideration of inherent uncertainty of soil properties. The Monte Carlo Simulation (MCS) is used for probabilistic analysis and reliability assessment of the stability of infinite slopes with triangle wedge failure. The selected stochastic parameters are internal friction angle, cohesion, and unit weight which are modeled using a truncated normal probability distribution function. Dimensionless horizontal and vertical pseudo-static coefficients are modeled using an exponential probability distribution function. The result of pseudo-static method analysis is compared with static method analysis

Keywords:

Reliability , Slope stability , Monte Carlo simulation , Pseudo-Static , Triangle wedge failure