Abstract
The kinematic behavior of rainfall-induced landslides from the pre-failure stage to post-failure stage contains important information for risk assessment and management. Because a complex relationship exists between rainfall conditions, pore water pressure, soil strength, and movement rates, a numerical model is the most efficient way to investigate the behavior of rainfall-induced landslides. In this study, the material point method (MPM) is used to investigate the dynamic behavior of landslides. First, the rainfall boundary conditions are extensively verified by comparing 1-D consolidation tests against other numerical solutions. Then, a numerical model is used to simulate a lab-scale rainfall-induced slope failure. A parametric study shows the influence of rainfall intensity on pore water pressure development, failure triggering time, surface displacement, and velocity. The use of the MPM provides a clear understanding in the failure mechanism and post-failure behavior of a rainfall-induced landslide.
Highlights
In order to improve the previous limitations, this study proposed a numerical model, which implemented a pseudo-3-phase 1-point material point method (MPM) formulation, to simulate the lab-scale rainfall-induced slope failure
The proposed numerical model was implemented based on a set of pseudo-3-phase 1-point MPM formulations and overcame the limitations related to rainfall boundary conditions encountered in previous studies, so the effect of rainfall on the dynamic behavior of unsaturated soil could be investigated more comprehensively
The following conclusions were drawn: 1) According to the effect of rainfall on changes in the pore water pressure, an important finding was that abnormally rising pore water pressure can be induced by high-intensity rainfall
Summary
With help of the proposed model using MPM, variations in the rainfall intensity corresponding to the pattern of rising pore water pressure and slope failure can be discussed . This finding is important information that can be applied in the design of rainfall-induced landslide warning systems
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