| Issue |
E3S Web Conf.
Volume 728, 2026
2026 3rd International Conference on Environment Engineering, Urban Planning and Design (EEUPD 2026)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 6 | |
| Section | Environmental Engineering and Earth Sciences | |
| DOI | https://doi.org/10.1051/e3sconf/202672801005 | |
| Published online | 27 July 2026 | |
An Unsaturated Soil Material Point Method for Simulating Rainfall-Induced Landslides
1 Department of Public Security Guizhou Police College (Guiyang), Guiyang, China
2 School of Transportation Science and Engineering, Harbin Institute of Technology (Harbin), Harbin, China
3 Yuxi Highway Engineering Quality Supervision Station (Yuxi), Yuxi, China
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Abstract
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 due to severe mesh distortion under large deformations, whereas the Discrete Element Method (DEM) demands excessive computational resources. Addressing this gap, we develop an advanced theoretical framework utilizing the Material Point Method (MPM) integrated with a liquid-solid-gas three-phase mechanics model. We first verify the algorithmic accuracy using a 1D unsaturated soil column test. Subsequently, the framework is deployed to capture the dynamic displacement and mechanical responses of a 2D rainfall-induced landslide. Benchmarking against FEM data confirms that our multiphase MPM accurately models the infiltration process and subsequent structural collapse. Ultimately, this approach offers a highly robust computational strategy for analyzing large-scale landslide deformations and improving predictive assessments.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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