Research on real-time hybrid simulation by Python-GPU computing; [应用 Python-GPU 求解的实时混合试验方法研究] - Details

Author：

Dong, X.-H. (Dong, X.-H..) | Tang, Z.-Y. (Tang, Z.-Y..) | Li, Z.-B. (Li, Z.-B..) | Du, X.-L. (Du, X.-L..)

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EI Scopus

Abstract：

This　article　establishes　an　RTHS　framework　based　on　Python　and　graphics　processor　unit（GPU）computation.　Using　a　soil-structure　interaction　system　as　a　testing　model，the　performance　of　the　testing　framework　is　verified　by　numerical　simulation　and　experiment.　The　results　show　that　using　Python-GPU　to　speed　the　unconditionally　stable　algorithm　allows　a　numerical　substructure　with　24000　DOFs　to　be　solved　in　a　time　step　of　20　ms.　Because　the　scale　of　GPU　calculation　is　almost　7　times　greater　than　that　of　CPU　calculation　in　the　same　machine，the　capability　of　RTHS　is　greatly　extended.　©　2023　Nanjing　University　of　Aeronautics　an　Astronautics.　All　rights　reserved.

Keyword：

graphics processing unit real-time hybrid simulation numerical integration algorithm Python calculation efficiency

Author Community：

[ 1 ] [Dong X.-H.]The Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Tang Z.-Y.]The Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Tang Z.-Y.]Hebei Key Laboratory of Earthquake Disaster Prevention and Risk Assessment, Sanhe, 065201, China
[ 4 ] [Li Z.-B.]The Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, 100124, China
[ 5 ] [Du X.-L.]The Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, 100124, China

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Source ：

Journal of Vibration Engineering

ISSN： 1004-4523

Year： 2023

Issue： 2

Volume： 36

Page： 517-525

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 1

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 13

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