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

Earthquake-induced diffuse landslide can cause considerable harm. This study used
discrete element modeling (DEM) to investigate the diffuse failure of soil slopes triggered by …

Most geohazards and industrial processes are essentially gravity-driven dense granular
flows. Deep understanding of the effect of gravity on granular flow is of crucial importance in …

The discrete element method is a powerful numerical tool widely employed in granular flow
simulations. To reduce computational costs, either monodisperse granular models or …

Entrainment of the substrate, which can cause the volume of geophysical flows to increase
by many times and greatly affects its mobility, occurs frequently. Even though many large …

The baffle effectively slowed down debris flow velocity, reduced its kinetic energy, and
significantly shortened the distance of debris flow movement. Consequently, they are widely …

Granular system under vertical vibration exhibits a range of convection patterns. A universal
and convincing explanation of multiple convection patterns is still lacking, which hinders the …

This study suggests a linearly combined ground motion model (GMM) optimized for the
within-rock conditions of South Korea. Ground motions recorded by accelerometers …

A reliable assessment and design of engineering structures requires appropriate estimation
and consideration of different sources of uncertainty. The randomness of seismic ground …

Submarine landslides are critical phenomena due to their potential to reshape seabed
topography, trigger tsunamis, and compromise offshore infrastructure. Understanding the …