Understanding the deformation patterns of different types of landslides around reservoirs is
crucial for precise prevention and control of related hazards. However, under the complex …

The prediction of landslide deformation is crucial for early warning systems. While
conventional geotechnical in-situ monitoring is restricted due to its high cost and spatial …

Reservoir landslides in the Three Gorges Reservoir, China, exhibit prolonged slow motion
and the potential for catastrophic events due to fluctuations in reservoir levels and intense …

This article presents the application of the Carrera Unified Formulation (CUF) for dynamic
analysis and structural integrity assessment of advanced nanocomposite-reinforced tunnel …

This study investigates the vibrations of graphene oxide powders (GOPs) reinforced
perovskite solar cells surrounded by an elastic foundation using both mathematical …

This paper applies eight state-of-the-art metaheuristic optimization algorithms to optimize the
kernel extreme learning machine (KELM) and compares the mean accuracy and stability of …

Abstract Analysis of the genesis and evolution mechanism of High and Steep Dangerous
Rocks (HSDRs) are crucial for enhancing the capability of geological disaster risk …

Accurate landslide displacement prediction is an essential prerequisite for early warning
systems aimed at mitigating geological hazards. However, the inherent nonlinearity and …

This study explores the application of the Carrera Unified Formulation (CUF) and a novel
hybrid machine learning algorithm in analyzing the vibration behavior of a functionally …

This study presents a comprehensive investigation into the slope stability and instability of
column structures made of Triply Periodic Minimal Surfaces (TPMS) under mechanical …