Accurately predicting slope reliability under a rainfall/rainstorm event is an important
prerequisite for preventing rainfall-induced landslide hazards. However, the predicted …

The cost of a landslide early warning system (LEWS) is a significant hurdle in its installation
and adoption in developing nations like India, which has one of the highest rates of …

The simulation of field conditions for seismically induced slope failures incorporates model
uncertainties, which account for the difference between simulated and observed slope …

This special issue is a companion to the special issue on “Machine Learning and AI in
Geotechnics” that was published by Georisk as Volume 17, Issue 1 in 2023 (Phoon et al …

Characterizing probability distributions of geotechnical data plays an important role in data-
centric geotechnics. On the one hand, geotechnical data are Multivariate, Uncertain, and …

Landslides are caused by rainfall as one of the main factors. In order to study the effect of
rainfall on the physical and mechanical parameters of landslides, a physical model of the …

Reliable predictions of time-dependent diaphragm wall deflections in deep excavations in
soft soils are crucial for managing potential damage to the surrounding environment …

Precipitation might change rapidly and vary spatially, therefore, knowledge on spatio-
temporal variation of precipitation plays a pivotal role in water resources management …

In evaluating the safety of rock slopes engineering, it is imperative to account for rheological
effects. These effects can lead to significant deformations that may adversely impact the …

Abstract Properties of geological materials vary significantly both spatially and temporally.
Geotechnical design and practice are influenced by variations in properties and proper …