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 …

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 …

Landslide is a uniquely dynamic large-deformation process that can present serious threat
to human lives and infrastructures. The natural soil properties often exhibit inherent spatial …

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 …

In this paper, a numerical procedure for probabilistic slope stability analysis is presented.
This procedure extends the traditional limit equilibrium method of slices to a probabilistic …

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 …

The previous chapters developed several probabilistic approaches for geotechnical site
characterization. These probabilistic approaches provide probabilistic characterization of …

A novel methodology that involves the coupling of Convolutional Neural Networks (CNNs)
and a data augmentation technique is proposed for slope reliability calculations. The …

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 …