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Article: Identification of masses moving on multi-span beams based on a genetic algorithm

TitleIdentification of masses moving on multi-span beams based on a genetic algorithm
Authors
KeywordsGenetic Algorithm
Inverse Problem
Modified Beam Vibration Functions
Moving Mass Identification
Optimization
Pseudo-Inverse
Singular Value Decomposition
Issue Date2003
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/compstruc
Citation
Computers And Structures, 2003, v. 81 n. 22-23, p. 2137-2148 How to Cite?
AbstractThis paper describes a theoretical study on the identification of masses moving on a multi-span continuous beam using the acceleration measurements. In the study, the acceleration measurements are simulated from the solution to the forward problem of a continuous beam under moving masses, together with the addition of artificially generated measurement noise. In particular, the forward problem for the simulation is solved using the modified beam vibration functions. A simple dynamic force identification procedure using pseudo-inverse and singular value decomposition is first employed to arrive at rough approximations of the moving masses. A genetic algorithm is then used to find the best estimated values of the moving masses by minimizing the errors between the measured accelerations and the reconstructed accelerations from the moving masses in each generation. Five numerical examples are given to demonstrate the robustness of this method. Various possible sources of error including the effects of measurement noise and surface roughness are also discussed. © 2003 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/150245
ISSN
2015 Impact Factor: 2.425
2015 SCImago Journal Rankings: 1.710
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorJiang, RJen_US
dc.contributor.authorAu, FTKen_US
dc.contributor.authorCheung, YKen_US
dc.date.accessioned2012-06-26T06:02:44Z-
dc.date.available2012-06-26T06:02:44Z-
dc.date.issued2003en_US
dc.identifier.citationComputers And Structures, 2003, v. 81 n. 22-23, p. 2137-2148en_US
dc.identifier.issn0045-7949en_US
dc.identifier.urihttp://hdl.handle.net/10722/150245-
dc.description.abstractThis paper describes a theoretical study on the identification of masses moving on a multi-span continuous beam using the acceleration measurements. In the study, the acceleration measurements are simulated from the solution to the forward problem of a continuous beam under moving masses, together with the addition of artificially generated measurement noise. In particular, the forward problem for the simulation is solved using the modified beam vibration functions. A simple dynamic force identification procedure using pseudo-inverse and singular value decomposition is first employed to arrive at rough approximations of the moving masses. A genetic algorithm is then used to find the best estimated values of the moving masses by minimizing the errors between the measured accelerations and the reconstructed accelerations from the moving masses in each generation. Five numerical examples are given to demonstrate the robustness of this method. Various possible sources of error including the effects of measurement noise and surface roughness are also discussed. © 2003 Elsevier Ltd. All rights reserved.en_US
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/compstrucen_US
dc.relation.ispartofComputers and Structuresen_US
dc.subjectGenetic Algorithmen_US
dc.subjectInverse Problemen_US
dc.subjectModified Beam Vibration Functionsen_US
dc.subjectMoving Mass Identificationen_US
dc.subjectOptimizationen_US
dc.subjectPseudo-Inverseen_US
dc.subjectSingular Value Decompositionen_US
dc.titleIdentification of masses moving on multi-span beams based on a genetic algorithmen_US
dc.typeArticleen_US
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0045-7949&volume=81&issue=22-23&spage=2137&epage=2148&date=2003&atitle=Identification+of+massess+moving+on+multi-span+beams+based+on+a+genetic+algorithm-
dc.identifier.emailAu, FTK: francis.au@hku.hken_US
dc.identifier.emailCheung, YK: hreccyk@hkucc.hku.hken_US
dc.identifier.authorityAu, FTK=rp00083en_US
dc.identifier.authorityCheung, YK=rp00104en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/S0045-7949(03)00298-0en_US
dc.identifier.scopuseid_2-s2.0-0042694620en_US
dc.identifier.hkuros95822-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0042694620&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume81en_US
dc.identifier.issue22-23en_US
dc.identifier.spage2137en_US
dc.identifier.epage2148en_US
dc.identifier.isiWOS:000185409800002-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridJiang, RJ=27169107600en_US
dc.identifier.scopusauthoridAu, FTK=7005204072en_US
dc.identifier.scopusauthoridCheung, YK=7202111065en_US

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