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 …

Spatial variability is one of the major sources of uncertainty in geotechnical applications.
This variability is characterized customarily by the scale of fluctuation. Scale of fluctuation …

This study investigates the coupled effect of the soil spatial variations and the disturbance of
ground surface on the existing tunnel using random finite difference method (RFDM). The …

The representation of spatial variation of soil properties in the form of random fields permits
advanced probabilistic assessment of slope stability. In many studies, the safety margin of …

This paper reviews previous studies on developments and applications of response surface
methods (RSMs) in different slope reliability problems. Based on the review, four types of …

Site characterization, which aims to characterize the subsurface stratigraphic configuration
and the associated geo-properties, has long been a significant challenge in geological and …

Random finite element method (RFEM) provides a rigorous tool to incorporate spatial
variability of soil properties into reliability analysis and risk assessment of slope stability …

Abstract Direct Monte Carlo simulation for the reliability analysis of slope stability with
spatially variable soil properties suffers from a serious lack of efficiency when the probability …

Rainfall-induced landslides are a major geohazard worldwide, which involve a complicated
process, starting from rainfall infiltration, to landslide triggering and initiation, and post-failure …

Field data have shown the fact that soil spatial variability could aggravate the uncertainty of
tunnel convergence ΔD (a key indicator for serviceability and safety of tunnels). This paper …