The lateral pressure exerted by expansive soils on retaining walls constructed with
expanded polystyrene geofoam blocks (EXRW-EPS), upon water infiltration to saturation, is …

Landslides triggered by extreme rainfall due to global climate change are becoming more
frequent. The Earth surface processes activity and landform evolution caused by landslide …

The creep behavior of rocks significantly impacts projects' structural safety, including mining,
tunneling, and hydraulic engineering. Numerous creep models used in numerical …

Various experiments and computational methods have been conducted to describe the
mechanical behaviours of frozen soils. However, due to high nonlinearity and uncertainty of …

Regional landslide susceptibility mapping (LSM) is essential for risk mitigation. While deep
learning algorithms are increasingly used in LSM, their extensive parameters and scarce …

This research proposed a novel deep learning framework that combines the Laplace
function sparse regularized continuous deep belief network (LSCDBN) and the Gray Wolf …

The purpose of this study is to utilize three machine learning models—random forest, logistic
regression and extreme gradient boosting—to assess the landslide susceptibility of Wushan …

The accurate prediction of displacement is crucial for landslide deformation monitoring and
early warning. This study focuses on a landslide in Wenzhou Belt Highway and proposes a …

Different types of landslides exhibit distinct relationships with environmental conditioning
factors. Therefore, in regions where multiple types of landslides coexist, it is required to …

Historically, landslides have been the primary type of geological disaster worldwide.
Generally, the stability of reservoir banks is primarily affected by rainfall and reservoir water …