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Development and application of a GPGPU-parallelized hybrid finite-discrete element method for modelling geo-structure collapse and resultant debris flow

Citation

Liu, H and Fukuda, D, Development and application of a GPGPU-parallelized hybrid finite-discrete element method for modelling geo-structure collapse and resultant debris flow, Proceedings of 20th International Conference on Soil Mechanics and Geotechnical Engineering, 1st to 5th of May 2022, Sydney, Australia, pp. 1-6. ISBN 978-0-9946261-4-1 (2022) [Refereed Conference Paper]


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Abstract

FDEM is rarely implemented to model non-cohesive soils due to the computationally intensive costs required for contact detections and interactions of irregularly shaped non-cohesive soil particles. This study first reviews a series of authors' recent developments for speeding up the contact detections and interactions for FDEM including GPGPU-parallelization, efficient contact activation approach, mass scaling, hyperplane separation theorem, as well as the adaptive and semi-adaptive contact activation scheme. With their implementation, our GPGPU-parallelized HFDEM is about 8,000 to 61,000 times faster than sequential FDEM code, which paves the way for investigating the instability and collapse of geo-structures and resultant debris fragmentation and flow involving in a large numbers of irregular-shaped non-cohesive debris. The GPGPU-parallelized HFDEM is then implemented to investigate the collapse process of 3D irregular-shaped and non-cohesive soil heaps under gravity, and the excavation-induced slope instability as well as the resultant complex debris fragment action and flow process.

Item Details

Item Type:Refereed Conference Paper
Keywords:FDEM, geo-structure collapse, slope instability, debris flow, irregular-shaped non-cohesive particles
Research Division:Engineering
Research Group:Civil engineering
Research Field:Civil geotechnical engineering
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Liu, H (Dr Hong Liu)
ID Code:150915
Year Published:2022
Deposited By:Engineering
Deposited On:2022-07-05
Last Modified:2022-09-16
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