Predicting initiation and failure of static liquefaction landslides in loess sediment: A laboratory data-driven sliding-block model

Static liquefaction landslides are particularly prevalent in loose saturated granular soils. Generally, they are catastrophic geological processes due to their high-speed and long-runout mobility. However, here can be challenging to accurately predict the initiation and failure of the static liquefaction landslides. Here, I compiled a database of undrained triaxial compression tests of 152 saturated loess at 15 sampling sites in the Chinese Loess Plateau. Meanwhile, I collected the landslide monitoring data from six flume tests and three field landslides. These data help to build and verify the laboratory data-driven sliding-block model. The model can serve as an effective tool for static liquefaction landslide prediction.