@Article{icces.2023.09965,
AUTHOR = {Shiwei Zhao, Hao Chen, Jidong Zhao},
TITLE = {Hierarchical Multiscale Modeling of Thaw-Induced Landslides in  Permafrost},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {25},
YEAR = {2023},
NUMBER = {2},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v25n2/53830},
ISSN = {1933-2815},
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.},
DOI = {10.32604/icces.2023.09965}
}