AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Rainfall infiltration frequently triggers slope failures by elevating pore water pressure and compromising the shear strength of unsaturated soil layers. Modeling these severe geological events remains computationally challenging. Standard grid-based techniques, such as the Finite Element Method (FEM), typically fail d...
Rainfall-induced slope instability poses a significant risk to dam infrastructure in tropical regions, where intense and prolonged precipitation frequently alters subsurface stress conditions. This study aims to evaluate the effects of rainfall infiltration on slope stability in the Rajui Dam area, Aceh, Indonesia, by...
Waste dump slopes may appear stable after an initial landslide, yet their renewed instability potential under subsequent hydraulic disturbance can remain significant. This study investigates a landslide-affected waste dump slope in Ma’anshan City, Anhui Province, China, by integrating pre-landslide and post-landslide U...
Global climate change is altering rainfall patterns and increasing the risk of landslides, prompting this study to investigate slope stability and responses through an integrated hydrological, statistical, and geotechnical framework. A 45-year dataset from 29 rainfall stations in Pacitan, East Java, Indonesia, was anal...
The traditional tank model-based landslip early warning system (LEWS) calculates the soil water index (SWI) as a single time series driven by basin-averaged rainfall, which cannot capture spatial heterogeneity along linear highway infrastructures. To overcome this limitation, this study proposes an integrated model tha...
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