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dc.contributor.authorArchbold, Paul
dc.contributor.authorShidong, Liu
dc.date.accessioned2020-05-11T16:10:32Z
dc.date.available2020-05-11T16:10:32Z
dc.date.copyright2013
dc.date.issued2013
dc.identifier.citationArchbold, P., Shidong, L. (2013). Identification of damage in steel beams using frequency response changes. Australian Journal of Basic and Applied Sciences, 7(5): 278-284.en_US
dc.identifier.issn1991-817
dc.identifier.issn2309-8414
dc.identifier.urihttp://research.thea.ie/handle/20.500.12065/3182
dc.description.abstractThe issue of structural condition monitoring is becoming increasingly important as the Ireland’s and the world’s civil engineering infrastructure ages. An efficient monitoring process is essential as part of a modern infrastructure management system. Automated monitoring processes offer advantages over traditional, subjective techniques including repeatability, reliability and flexibility. They also offer potential for incorporation into remote monitoring systems. This paper presents a technique developed by the authors for detecting damage in steel laboratory scale beams by identification of changes in the natural frequencies of the first four vertical modes of vibration of the beams. This method was successfully employed to both locate and quantify a range of actual damage scenarios. Using twelve damage scenarios, this method successfully detected the damage location 92% of the time, while detecting the magnitude of the damage with a 75% success rate.en_US
dc.formatPDFen_US
dc.language.isoenen_US
dc.publisherAJBASen_US
dc.relation.ispartofAustralian Journal of Basic and Applied Sciences.en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ie/*
dc.subjectDamage detectionen_US
dc.subjectVibration responseen_US
dc.subjectSteel beamsen_US
dc.subjectStructural monitoringen_US
dc.subjectFE modellingen_US
dc.subjectNatural frequencyen_US
dc.titleIdentification of damage in steel beams using frequency response changes.en_US
dc.typeArticleen_US
dc.description.peerreviewyesen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2464-7258
dc.rights.accessOpen Accessen_US
dc.subject.departmentFaculty of Engineering & Informatics AITen_US


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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland