File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Structural damage detection based on a micro-genetic algorithm using incomplete and noisy modal test data

TitleStructural damage detection based on a micro-genetic algorithm using incomplete and noisy modal test data
Authors
Issue Date2003
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/jsvi
Citation
Journal Of Sound And Vibration, 2003, v. 259 n. 5, p. 1081-1094 How to Cite?
AbstractThis paper describes a procedure for detecting structural damage based on a microgenetic algorithm using incomplete and noisy modal test data. As the number of sensors used to measure modal data is normally small when compared with the degrees of freedom of the finite element model of the structure, the incomplete mode shape data are first expanded to match with all degrees of freedom of the finite element model under consideration. The elemental energy quotient difference is then employed to locate the damage domain approximately. Finally, a micro-genetic algorithm is used to quantify the damage extent by minimizing the errors between the measured data and numerical results. The process may be either of single-level or implemented through two-level search strategies. The study has covered the use of frequencies only and the combined use of both frequencies and mode shapes. The proposed method is applied to a single-span simply supported beam and a three-span continuous beam with multiple damage locations. In the study, the modal test data are simulated numerically using the finite element method. The measurement errors of modal data are simulated by superimposing random noise with appropriate magnitudes. The effectiveness of using frequencies and both frequencies and mode shapes as the data for quantification of damage extent are examined. The effects of incomplete and noisy modal test data on the accuracy of damage detection are also discussed. © 2002 Elsevier Science Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/150227
ISSN
2015 Impact Factor: 2.107
2015 SCImago Journal Rankings: 1.494
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorAu, FTKen_US
dc.contributor.authorCheng, YSen_US
dc.contributor.authorTham, LGen_US
dc.contributor.authorBai, ZZen_US
dc.date.accessioned2012-06-26T06:02:35Z-
dc.date.available2012-06-26T06:02:35Z-
dc.date.issued2003en_US
dc.identifier.citationJournal Of Sound And Vibration, 2003, v. 259 n. 5, p. 1081-1094en_US
dc.identifier.issn0022-460Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/150227-
dc.description.abstractThis paper describes a procedure for detecting structural damage based on a microgenetic algorithm using incomplete and noisy modal test data. As the number of sensors used to measure modal data is normally small when compared with the degrees of freedom of the finite element model of the structure, the incomplete mode shape data are first expanded to match with all degrees of freedom of the finite element model under consideration. The elemental energy quotient difference is then employed to locate the damage domain approximately. Finally, a micro-genetic algorithm is used to quantify the damage extent by minimizing the errors between the measured data and numerical results. The process may be either of single-level or implemented through two-level search strategies. The study has covered the use of frequencies only and the combined use of both frequencies and mode shapes. The proposed method is applied to a single-span simply supported beam and a three-span continuous beam with multiple damage locations. In the study, the modal test data are simulated numerically using the finite element method. The measurement errors of modal data are simulated by superimposing random noise with appropriate magnitudes. The effectiveness of using frequencies and both frequencies and mode shapes as the data for quantification of damage extent are examined. The effects of incomplete and noisy modal test data on the accuracy of damage detection are also discussed. © 2002 Elsevier Science Ltd. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/jsvien_US
dc.relation.ispartofJournal of Sound and Vibrationen_US
dc.titleStructural damage detection based on a micro-genetic algorithm using incomplete and noisy modal test dataen_US
dc.typeArticleen_US
dc.identifier.emailAu, FTK:francis.au@hku.hken_US
dc.identifier.emailTham, LG:hrectlg@hkucc.hku.hken_US
dc.identifier.authorityAu, FTK=rp00083en_US
dc.identifier.authorityTham, LG=rp00176en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1006/jsvi.2002.5116en_US
dc.identifier.scopuseid_2-s2.0-0037282542en_US
dc.identifier.hkuros76096-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0037282542&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume259en_US
dc.identifier.issue5en_US
dc.identifier.spage1081en_US
dc.identifier.epage1094en_US
dc.identifier.isiWOS:000181102200004-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridAu, FTK=7005204072en_US
dc.identifier.scopusauthoridCheng, YS=7404911293en_US
dc.identifier.scopusauthoridTham, LG=7006213628en_US
dc.identifier.scopusauthoridBai, ZZ=14619012100en_US
dc.identifier.citeulike28941-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats