Modeling only constitutes one aspect of decision making. The prevailing limitation of
applying modeling to practice is the absence of explicit consideration of uncertainties. This …

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 …

In practical geotechnical engineering of slopes, it is well-known that the uncertainty of soil
properties and ground motions need to be considered for the safety of the project. The effect …

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

The random field finite element method (RF-FEM) provides a robust tool for carrying out
slope reliability analysis that incorporates the spatial variability of soil properties. However, it …

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 …

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 …

This paper presents a system probabilistic stability evaluation method for slopes based on
Gaussian process regression (GPR) and Latin hypercube sampling. The analysis is …

There are typically three types of models involved in a geotechnical analysis, ie, the
geologic model, the ground model, and the geotechnical model, each of which may be …

The uncertainty involved in the interpreted geological model may be categorized as the
stratigraphic uncertainty and the properties uncertainty. Note that although the influence of …