Spatial variability of soil properties was rarely taken into account directly in traditional slope
stability analyses, rather some “average” or suitably “pessimistic” properties are assumed to …

Monte Carlo simulation (MCS) provides a conceptually simple and robust method to
evaluate the system reliability of slope stability, particularly in spatially variable soils …

This paper proposes a non-intrusive stochastic finite element method for slope reliability
analysis considering spatially variable shear strength parameters. The two-dimensional …

To meet the high demand for reliability based design of slopes, we present in this paper a
simplified HLRF (Hasofer–Lind–Rackwitz–Fiessler) iterative algorithm for first-order …

This study aimed to investigate the stability of multi-stage drained and undrained slopes
considering the spatial variability in soil properties. A bivariate random field was adopted to …

The 2D random finite element method and the one-dimensional and 2D random limit
equilibrium method are used to investigate the influence of spatial variability of soil strength …

Conventionally adopted deterministic slope stability analyses do not consider the influence
of uncertainties related to geotechnical properties as well as failure mechanism in slope …

In limit equilibrium slope stability analysis, surface altering optimisation (SAO) is a novel
approach to minimise the factor of safety for a given slip surface using spline curves in 2D. It …

Probabilistic stability analyses of constructed wrapped-face reinforced slopes (or
embankments) using frictional soils were carried out using the random finite element method …

It is well known that soils are prone to spatial non-uniformity, which affects evaluations of
slope stability and failure mechanisms. This paper presents a probabilistic slope stability …