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

Maeda, Yutaro; Ogata, Sho; Fukuda, Daisuke; Liu, Hongyuan; Inui, Toru

doi:https://doi.org/10.1016/j.compgeo.2023.105942

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

アクセス数:400件（2025-07-26 15:07 集計）

固定URL: https://hdl.handle.net/11094/93482

閲覧可能ファイル

ファイル	フォーマット	利用条件	サイズ	閲覧回数	利用開始日	説明	information
ComputGeotech_166_105942	pdf	なし	1.72 MB		2026.02.01

Creative Commons : 表示 - 非営利 - 改変禁止

論文情報

ファイル出力 EndNote Basic出力 Mendeley出力

タイトル	Development of a GPGPU-parallelized FDEM based on extrinsic cohesive zone model with master-slave algorithm
著者	著者名 Maeda, Yutaro
	NRID 1000050868388 1000050868388 researchmap permalink 20191001 20191001 Scopus Author ID 57188767826 57188767826 著者名 Ogata, Sho
	NRID 1000080647181 1000080647181 著者名 Fukuda, Daisuke
	著者名 Liu, Hongyuan
	NRID 1000090324706 1000090324706 researchmap permalink read0066428 read0066428 Scopus Author ID 7203009205 7203009205 著者名 Inui, Toru
キーワード等	2-D FDEM
	Extrinsic Cohesive Zone Model (ECZM)
	GPGPU parallel computation
	Intrinsic Cohesive Zone Model (ICZM)
	Rock fracturing
内容	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.
抄録	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.
出版者	Elsevier Ltd
収録物名	Computers and Geotechnics
巻(号)	166
ページ	105942
刊行年月	2024-02-01
言語	英語
ハンドルURL	https://hdl.handle.net/11094/93482
PISSN	0266352X
eISSN	18737633
関連情報 (isVersionOf)	DOI (出版社版) https://doi.org/10.1016/j.compgeo.2023.105942
アクセス権	embargoed access
権利情報	© 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/
出版タイプ	Accepted Manuscript
カテゴリ	学術雑誌論文 Journal Article

資源タイプ	学術雑誌論文
ローカル資源タイプ	学術雑誌論文
DCMI資源タイプ	text
DCTERMS.bibliographicCitation	Computers and Geotechnics. 2024, 166, p. 105942
DC.title	Development of a GPGPU-parallelized FDEM based on extrinsic cohesive zone model with master-slave algorithm
DC.creator	Maeda, Yutaro
	Ogata, Sho
	Fukuda, Daisuke
	Liu, Hongyuan
	Inui, Toru
DC.publisher	Elsevier Ltd
DC.language' scheme='DCTERMS.RFC1766	英語
DC.type' scheme='DCTERMS.DCMIType	text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2024-02-01
DC.identifier	https://doi.org/10.1016/j.compgeo.2023.105942
DC.subject	2-D FDEM
	Extrinsic Cohesive Zone Model (ECZM)
	GPGPU parallel computation
	Intrinsic Cohesive Zone Model (ICZM)
	Rock fracturing
DC.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.
DCTERMS.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.
DC.rights	© 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/
DC.format	93482
citation_title	Development of a GPGPU-parallelized FDEM based on extrinsic cohesive zone model with master-slave algorithm
citation_author	Maeda, Yutaro
	Ogata, Sho
	Fukuda, Daisuke
	Liu, Hongyuan
	Inui, Toru
citation_publisher	Elsevier Ltd
citation_language	英語
citation_date	2024-02-01
citation_journal_title	Computers and Geotechnics
citation_volume	166
citation_firstpage	105942
citation_doi	https://doi.org/10.1016/j.compgeo.2023.105942
citation_public_url	https://hdl.handle.net/11094/93482

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

閲覧可能ファイル

論文情報

論文詳細を表示