Development of a GPGPU-parallelized FDEM based on extrinsic cohesive zone model with master-slave algorithm

Maeda, Yutaro; Ogata, Sho; Fukuda, Daisuke et al.

Computers and Geotechnics, 2024, 166, 105942

Number of Access:403（2025-07-27 20:30 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/93482

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Title
Development of a GPGPU-parallelized FDEM based on extrinsic cohesive zone model with master-slave algorithm
Creator
CreatorName
Maeda, Yutaro
NRID
1000050868388 1000050868388
researchmap permalink
20191001 20191001
Scopus Author ID
57188767826 57188767826
CreatorName
Ogata, Sho
NRID
1000080647181 1000080647181
CreatorName
Fukuda, Daisuke
CreatorName
Liu, Hongyuan
NRID
1000090324706 1000090324706
researchmap permalink
read0066428 read0066428
Scopus Author ID
7203009205 7203009205
CreatorName
Inui, Toru
Subject
2-D FDEM
Extrinsic Cohesive Zone Model (ECZM)
GPGPU parallel computation
Intrinsic Cohesive Zone Model (ICZM)
Rock fracturing
Description
Maeda Y., Ogata S., Fukuda D., et al. Development of a GPGPU-parallelized FDEM based on extrinsic cohesive zone model with master-slave algorithm. Computers and Geotechnics 166, 105942 (2024); https://doi.org/10.1016/j.compgeo.2023.105942.
Abstract
This paper proposes a novel general-purpose graphic-processing-units (GPGPU) parallel computing approach to an extrinsic cohesive zone model (ECZM) - based combined finite-discrete element method (FDEM) for simulating rock fracturing. The proposed GPGPU-parallelized ECZM-FDEM incorporates a master–slave algorithm as an alternative to the complex adaptive remeshing process, which is usually used in ECZM but has prevented it from being parallelized using GPGPU. Numerical experiments of the Brazilian test and uniaxial compression test of rocks are conducted to compare the proposed ECZM-FDEM with a GPGPU-parallelized FDEM using the intrinsic cohesive zone model (ICZM-FDEM). Results show that the proposed method can not only overcome the accuracy degradation of calculated stresses and deformations that is inevitable in ICZM-FDEM but also reasonably simulate rock fracturing. Moreover, the proposed GPGPU-parallelized ECZM-FDEM achieves a maximum relative speed-up of 13 times over GPGPU-parallelized ICZM-FDEM due to efficient contact calculations and larger stable time steps. Thus, the proposed ECZM-FDEM is more physically sound and more computationally efficient compared with ICZM-FDEM, which may contribute to the further developments of FDEM.
Publisher
Elsevier Ltd
Source Title
Computers and Geotechnics
Volume (Issue)
166
Page
105942
Date of Issued
2024-02-01
Language
English
Handle URL
https://hdl.handle.net/11094/93482
PISSN
0266352X
eISSN
18737633
Relation.isVersionOf
DOI (Publisher Version)
https://doi.org/10.1016/j.compgeo.2023.105942
Access Rights
embargoed access
CopyRight
© 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
oaire:version
Accepted Manuscript
Category
学術雑誌論文 Journal Article