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Article: Parameter identification of vehicles moving on continuous bridges

TitleParameter identification of vehicles moving on continuous bridges
Authors
Issue Date2004
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/jsvi
Citation
Journal Of Sound And Vibration, 2004, v. 269 n. 1-2, p. 91-111 How to Cite?
AbstractThis paper describes a method for the identification of parameters of vehicles moving on multi-span continuous bridges. Each moving vehicle is modelled as a 2-degree-of-freedom system that comprises four components: an unsprung mass and a sprung mass, which are connected together by a damper and a spring. The corresponding parameters of these four components, namely, the equivalent unsprung mass and sprung mass, the damping coefficient and the spring stiffness are identified based on dynamic simulation of the vehicle-bridge system. The identification process makes use of acceleration measurements at selected stations on the bridge. In the study, the acceleration measurements are simulated from the solution to the forward problem of a continuous beam under moving vehicles, together with the addition of artificially generated measurement noise. The identification is carried out through a robust multi-stage optimization scheme based on genetic algorithms, which searches for the best estimates of parameters by minimizing the errors between the measured accelerations and the reconstructed accelerations from the moving vehicles. This multi-stage optimization scheme reduces the variable search domains stage by stage using the identified results of the previous stage. Besides the basic operators in simple genetic algorithms, some advanced genetic operators and techniques are adopted here. Therefore, it makes the proposed identification procedure much more efficient than other traditional optimization methods. The identification procedure is then verified with a few test cases. The estimated vehicle parameters can also be used to get the time varying contact forces between the vehicles and bridge surface.
Persistent Identifierhttp://hdl.handle.net/10722/71177
ISSN
2015 Impact Factor: 2.107
2015 SCImago Journal Rankings: 1.494
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorAu, FTKen_HK
dc.contributor.authorJiang, RJen_HK
dc.contributor.authorCheung, YKen_HK
dc.date.accessioned2010-09-06T06:29:37Z-
dc.date.available2010-09-06T06:29:37Z-
dc.date.issued2004en_HK
dc.identifier.citationJournal Of Sound And Vibration, 2004, v. 269 n. 1-2, p. 91-111en_HK
dc.identifier.issn0022-460Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/71177-
dc.description.abstractThis paper describes a method for the identification of parameters of vehicles moving on multi-span continuous bridges. Each moving vehicle is modelled as a 2-degree-of-freedom system that comprises four components: an unsprung mass and a sprung mass, which are connected together by a damper and a spring. The corresponding parameters of these four components, namely, the equivalent unsprung mass and sprung mass, the damping coefficient and the spring stiffness are identified based on dynamic simulation of the vehicle-bridge system. The identification process makes use of acceleration measurements at selected stations on the bridge. In the study, the acceleration measurements are simulated from the solution to the forward problem of a continuous beam under moving vehicles, together with the addition of artificially generated measurement noise. The identification is carried out through a robust multi-stage optimization scheme based on genetic algorithms, which searches for the best estimates of parameters by minimizing the errors between the measured accelerations and the reconstructed accelerations from the moving vehicles. This multi-stage optimization scheme reduces the variable search domains stage by stage using the identified results of the previous stage. Besides the basic operators in simple genetic algorithms, some advanced genetic operators and techniques are adopted here. Therefore, it makes the proposed identification procedure much more efficient than other traditional optimization methods. The identification procedure is then verified with a few test cases. The estimated vehicle parameters can also be used to get the time varying contact forces between the vehicles and bridge surface.en_HK
dc.languageengen_HK
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/jsvien_HK
dc.relation.ispartofJournal of Sound and Vibrationen_HK
dc.titleParameter identification of vehicles moving on continuous bridgesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0022-460X&volume=269&issue=1-2&spage=91&epage=111&date=2004&atitle=Parameter+identification+of+vehicles+moving+on+continuous+bridgesen_HK
dc.identifier.emailAu, FTK:francis.au@hku.hken_HK
dc.identifier.emailCheung, YK:hreccyk@hkucc.hku.hken_HK
dc.identifier.authorityAu, FTK=rp00083en_HK
dc.identifier.authorityCheung, YK=rp00104en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/S0022-460X(03)00005-1en_HK
dc.identifier.scopuseid_2-s2.0-0346361627en_HK
dc.identifier.hkuros95826en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0346361627&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume269en_HK
dc.identifier.issue1-2en_HK
dc.identifier.spage91en_HK
dc.identifier.epage111en_HK
dc.identifier.isiWOS:000187227100005-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridAu, FTK=7005204072en_HK
dc.identifier.scopusauthoridJiang, RJ=27169107600en_HK
dc.identifier.scopusauthoridCheung, YK=7202111065en_HK

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