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 …

There are some situations when the process mean fluctuates from time to time but is still
considered as in-control and the process standard deviation is a linear function of the …

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 paper proposes a multiple response-surface method for slope reliability analysis
considering spatially variable soil properties. The scales of fluctuation of soil shear strength …

Seepage failure of high earth-rockfill dams have devastating consequences, and its safety
analysis is of great importance in the design phase. However, the highest safety standards …

Artificial ground freezing (AGF) has been extensively applied in underground engineering
construction as a popular ground-support technique. In recent decades, a series of …

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 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 …

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