Probabilistic dynamic analysis of vehicle-bridge interaction system with uncertain parameters

Liu, N; Gao, W; Song, CM; Zhang, N

Probabilistic dynamic analysis of vehicle-bridge interaction system with uncertain parameters

Liu, N Gao, W Song, CM Zhang, N

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Publication Type:: Journal Article
Citation:: CMES - Computer Modeling in Engineering and Sciences, 2011, 72 (2), pp. 79 - 102
Issue Date:: 2011-05-30

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Field	Value	Language
dc.contributor.author	Liu, N	en_US
dc.contributor.author	Gao, W	en_US
dc.contributor.author	Song, CM	en_US
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044	en_US
dc.date.issued	2011-05-30	en_US
dc.identifier.citation	CMES - Computer Modeling in Engineering and Sciences, 2011, 72 (2), pp. 79 - 102	en_US
dc.identifier.issn	1526-1492	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32374
dc.description.abstract	This paper presents the probabilistic dynamic analysis of vehicle-bridge interaction systems. The bridge's and vehicle's parameters are considered as random variables as well as the road surface roughness is modeled as random process. A two-degree-of-freedom spring-mass system is used to represent a moving vehicle and the bridge is modeled as an Euler-Bernoulli beam. From the equation of motion for the vehicle-bridge coupling system, the expressions for mean value and standard deviation of bridge response are developed by using the random variable's functional moment method. The effects of the individual system parameters and the road surface roughness on the bridge response are investigated. Monte-Carlo simulation method is used to verify the approach presented in this paper. The effectiveness of the proposed method is also demonstrated by numerical examples. Copyright © 2011 Tech Science Press.	en_US
dc.relation.ispartof	CMES - Computer Modeling in Engineering and Sciences	en_US
dc.subject.classification	Applied Mathematics	en_US
dc.title	Probabilistic dynamic analysis of vehicle-bridge interaction system with uncertain parameters	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	72	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
utslib.for	0103 Numerical and Computational Mathematics	en_US
dc.location.activity	WOS:000291493500001
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	72	en_US

Abstract:

This paper presents the probabilistic dynamic analysis of vehicle-bridge interaction systems. The bridge's and vehicle's parameters are considered as random variables as well as the road surface roughness is modeled as random process. A two-degree-of-freedom spring-mass system is used to represent a moving vehicle and the bridge is modeled as an Euler-Bernoulli beam. From the equation of motion for the vehicle-bridge coupling system, the expressions for mean value and standard deviation of bridge response are developed by using the random variable's functional moment method. The effects of the individual system parameters and the road surface roughness on the bridge response are investigated. Monte-Carlo simulation method is used to verify the approach presented in this paper. The effectiveness of the proposed method is also demonstrated by numerical examples. Copyright © 2011 Tech Science Press.

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http://hdl.handle.net/10453/32374