Application of Finite Volume Method to Structural Stochastic Dynamics

The stochastic dynamic problems were becoming more difficult after considering the influences of stochastic factors and the complexity of the dynamic problems. To this background, the finite volume method combined with Perturbation Method was proposed for the stochastic dynamic analysis. The equatio...

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Main Authors: Weidong Chen, Yanchun Yu, Ping Jia, Xiande Wu, Fengchao Zhang
Format: Article
Language:English
Published: SAGE Publishing 2013-01-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1155/2013/391704
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spelling doaj-be68b4b8c3b8405a8587c7c13af4873c2020-11-25T02:59:51ZengSAGE PublishingAdvances in Mechanical Engineering1687-81322013-01-01510.1155/2013/39170410.1155_2013/391704Application of Finite Volume Method to Structural Stochastic DynamicsWeidong ChenYanchun YuPing JiaXiande WuFengchao ZhangThe stochastic dynamic problems were becoming more difficult after considering the influences of stochastic factors and the complexity of the dynamic problems. To this background, the finite volume method combined with Perturbation Method was proposed for the stochastic dynamic analysis. The equations of perturbation-finite volume method were derived; the explicit expressions between random response and basic random variables were given; the method of stochastic dynamic analysis was discussed; and the examples were presented to verify the perturbation-finite volume method. The results of perturbation-finite volume method were compared with the results of Monte Carlo Method, which proved that the proposed method was correct and accurate. Because the proposed method was simple and clear, the equations were easy to establish and the efficiency was improved. Meanwhile, the proposed method was successfully applied to the stochastic dynamic analysis of linear multibody system, which was verified through the example in this paper.https://doi.org/10.1155/2013/391704
collection DOAJ
language English
format Article
sources DOAJ
author Weidong Chen
Yanchun Yu
Ping Jia
Xiande Wu
Fengchao Zhang
spellingShingle Weidong Chen
Yanchun Yu
Ping Jia
Xiande Wu
Fengchao Zhang
Application of Finite Volume Method to Structural Stochastic Dynamics
Advances in Mechanical Engineering
author_facet Weidong Chen
Yanchun Yu
Ping Jia
Xiande Wu
Fengchao Zhang
author_sort Weidong Chen
title Application of Finite Volume Method to Structural Stochastic Dynamics
title_short Application of Finite Volume Method to Structural Stochastic Dynamics
title_full Application of Finite Volume Method to Structural Stochastic Dynamics
title_fullStr Application of Finite Volume Method to Structural Stochastic Dynamics
title_full_unstemmed Application of Finite Volume Method to Structural Stochastic Dynamics
title_sort application of finite volume method to structural stochastic dynamics
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8132
publishDate 2013-01-01
description The stochastic dynamic problems were becoming more difficult after considering the influences of stochastic factors and the complexity of the dynamic problems. To this background, the finite volume method combined with Perturbation Method was proposed for the stochastic dynamic analysis. The equations of perturbation-finite volume method were derived; the explicit expressions between random response and basic random variables were given; the method of stochastic dynamic analysis was discussed; and the examples were presented to verify the perturbation-finite volume method. The results of perturbation-finite volume method were compared with the results of Monte Carlo Method, which proved that the proposed method was correct and accurate. Because the proposed method was simple and clear, the equations were easy to establish and the efficiency was improved. Meanwhile, the proposed method was successfully applied to the stochastic dynamic analysis of linear multibody system, which was verified through the example in this paper.
url https://doi.org/10.1155/2013/391704
work_keys_str_mv AT weidongchen applicationoffinitevolumemethodtostructuralstochasticdynamics
AT yanchunyu applicationoffinitevolumemethodtostructuralstochasticdynamics
AT pingjia applicationoffinitevolumemethodtostructuralstochasticdynamics
AT xiandewu applicationoffinitevolumemethodtostructuralstochasticdynamics
AT fengchaozhang applicationoffinitevolumemethodtostructuralstochasticdynamics
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