Distributed parallel computing of the recursive eigenvalue search in the context of transfer matrix method for multibody systems

Distributed parallel computing of the recursive eigenvalue search in the context of transfer matrix method for multibody systems

The modeling and solving a transcendental eigenvalue problem are important issues in the transfer matrix method for linear multibody systems. Based on the recursive eigenvalue search algorithm for transfer matrix method for linear multibody system, the distributed parallel approach for assembling ov...

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Main Authors: Junjie Gu, Xiaoting Rui, Gangli Chen, Qinbo Zhou, Haigen Yang
Format: Article
Language:English
Published: SAGE Publishing 2016-11-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814016680735
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spelling doaj-764254bbb3fb477a85267c274cb180aa2020-11-25T02:58:17ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-11-01810.1177/1687814016680735Distributed parallel computing of the recursive eigenvalue search in the context of transfer matrix method for multibody systemsJunjie Gu0Xiaoting Rui1Gangli Chen2Qinbo Zhou3Haigen Yang4Institute of Launch Dynamics, Nanjing University of Science and Technology, Nanjing, ChinaInstitute of Launch Dynamics, Nanjing University of Science and Technology, Nanjing, ChinaInstitute of Launch Dynamics, Nanjing University of Science and Technology, Nanjing, ChinaInstitute of Launch Dynamics, Nanjing University of Science and Technology, Nanjing, ChinaEngineering Research Center of Wider and Wireless Communication Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, ChinaThe modeling and solving a transcendental eigenvalue problem are important issues in the transfer matrix method for linear multibody systems. Based on the recursive eigenvalue search algorithm for transfer matrix method for linear multibody system, the distributed parallel approach for assembling overall transfer matrix and searching eigenvalues is proposed. This is achieved based on Message Parallel Interface. The influence of the CPU core number as well as the distributed network environment on the final computational time is analyzed through numerical examples of both a non-uniform beam and a multiple launch rocket system. The results indicate that the computational time is significantly reduced by the proposed parallel computing method, so that the computational efficiency on optimization and design of complex multibody systems can be improved.https://doi.org/10.1177/1687814016680735
collection DOAJ
language English
format Article
sources DOAJ
author Junjie Gu
Xiaoting Rui
Gangli Chen
Qinbo Zhou
Haigen Yang
spellingShingle Junjie Gu
Xiaoting Rui
Gangli Chen
Qinbo Zhou
Haigen Yang
Distributed parallel computing of the recursive eigenvalue search in the context of transfer matrix method for multibody systems
Advances in Mechanical Engineering
author_facet Junjie Gu
Xiaoting Rui
Gangli Chen
Qinbo Zhou
Haigen Yang
author_sort Junjie Gu
title Distributed parallel computing of the recursive eigenvalue search in the context of transfer matrix method for multibody systems
title_short Distributed parallel computing of the recursive eigenvalue search in the context of transfer matrix method for multibody systems
title_full Distributed parallel computing of the recursive eigenvalue search in the context of transfer matrix method for multibody systems
title_fullStr Distributed parallel computing of the recursive eigenvalue search in the context of transfer matrix method for multibody systems
title_full_unstemmed Distributed parallel computing of the recursive eigenvalue search in the context of transfer matrix method for multibody systems
title_sort distributed parallel computing of the recursive eigenvalue search in the context of transfer matrix method for multibody systems
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2016-11-01
description The modeling and solving a transcendental eigenvalue problem are important issues in the transfer matrix method for linear multibody systems. Based on the recursive eigenvalue search algorithm for transfer matrix method for linear multibody system, the distributed parallel approach for assembling overall transfer matrix and searching eigenvalues is proposed. This is achieved based on Message Parallel Interface. The influence of the CPU core number as well as the distributed network environment on the final computational time is analyzed through numerical examples of both a non-uniform beam and a multiple launch rocket system. The results indicate that the computational time is significantly reduced by the proposed parallel computing method, so that the computational efficiency on optimization and design of complex multibody systems can be improved.
url https://doi.org/10.1177/1687814016680735
work_keys_str_mv AT junjiegu distributedparallelcomputingoftherecursiveeigenvaluesearchinthecontextoftransfermatrixmethodformultibodysystems
AT xiaotingrui distributedparallelcomputingoftherecursiveeigenvaluesearchinthecontextoftransfermatrixmethodformultibodysystems
AT ganglichen distributedparallelcomputingoftherecursiveeigenvaluesearchinthecontextoftransfermatrixmethodformultibodysystems
AT qinbozhou distributedparallelcomputingoftherecursiveeigenvaluesearchinthecontextoftransfermatrixmethodformultibodysystems
AT haigenyang distributedparallelcomputingoftherecursiveeigenvaluesearchinthecontextoftransfermatrixmethodformultibodysystems
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