Open Access

PROCEEDINGS

Hierarchical Multiscale Modeling of Thaw-Induced Landslides in Permafrost

by

1 The Hong Kong University of Science and Technology, Hong Kong, 999077, China
2 South China University of Technology, GuangZhou, 510641, China

* Corresponding Author: Shiwei Zhao. Email:

The International Conference on Computational & Experimental Engineering and Sciences 2023, 25(2), 1-1. https://doi.org/10.32604/icces.2023.09965

Abstract

With global warming, thaw-induced landslides occur more frequently in permafrost, which not only threaten the safety of infrastructures as general geohazards but also worsen global warming due to carbon release. This work presents a novel computational framework to model thaw-induced landslides from a multiscale perspective. The proposed approach can capture the thermal-mechanical (TM) response of frozen soils at the particulate scale by using discrete element method (DEM). The micromechanics-based TM model is superior to capturing the sudden crash of soil skeletons caused by thaw-induced cementation loss between soil grains. The DEM-simulated TM response is then homogenized and directly fed into an upper continuum-scale initial and boundary value problem, i.e., thaw-induced landslide. The mesh-free material point method (MPM) is employed to solve the TM response at the upper continuum scale. The coupled multiscale framework, coined as DEMPM, is highly parallelized by using a thread-block-wise parallelization scheme on graphics processing units (GPUs), thereby capable of handling engineering-scale simulations of landslides. Numerical simulations are showcased to demonstrate the efficacy of the proposed framework.

---

Keywords

---