Bridge-vehicle interaction for structural health monitoring: potentials, applications, and limitations

dc.check.embargoformatNot applicableen
dc.check.infoNo embargo requireden
dc.check.opt-outNot applicableen
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dc.contributor.advisorPakrashi, Vikramen
dc.contributor.authorJaksic, Vesna
dc.contributor.funderIrish Research Council for Science Engineering and Technologyen
dc.date.accessioned2014-02-24T15:02:43Z
dc.date.available2014-02-24T15:02:43Z
dc.date.issued2014
dc.description.abstractStructural Health Monitoring (SHM) is an integral part of infrastructure maintenance and management systems due to socio-economic, safety and security reasons. The behaviour of a structure under vibration depends on structure characteristics. The change of structure characteristics may suggest the change in system behaviour due to the presence of damage(s) within. Therefore the consistent, output signal guided, and system dependable markers would be convenient tool for the online monitoring, the maintenance, rehabilitation strategies, and optimized decision making policies as required by the engineers, owners, managers, and the users from both safety and serviceability aspects. SHM has a very significant advantage over traditional investigations where tangible and intangible costs of a very high degree are often incurred due to the disruption of service. Additionally, SHM through bridge-vehicle interaction opens up opportunities for continuous tracking of the condition of the structure. Research in this area is still in initial stage and is extremely promising. This PhD focuses on using bridge-vehicle interaction response for SHM of damaged or deteriorating bridges to monitor or assess them under operating conditions. In the present study, a number of damage detection markers have been investigated and proposed in order to identify the existence, location, and the extent of an open crack in the structure. The theoretical and experimental investigation has been conducted on Single Degree of Freedom linear system, simply supported beams. The novel Delay Vector Variance (DVV) methodology has been employed for characterization of structural behaviour by time-domain response analysis. Also, the analysis of responses of actual bridges using DVV method has been for the first time employed for this kind of investigation.en
dc.description.sponsorshipIrish Research Council for Science Engineering and Technology (Embark Initiative)en
dc.description.statusNot peer revieweden
dc.description.versionAccepted Version
dc.format.mimetypeapplication/pdfen
dc.identifier.citationJaksic, V. 2013. Bridge-vehicle interaction for structural health monitoring: potentials, applications, and limitations. PhD Thesis, University College Cork.en
dc.identifier.endpage306
dc.identifier.urihttps://hdl.handle.net/10468/1408
dc.language.isoenen
dc.publisherUniversity College Corken
dc.rights© 2013. Vesna Jaksicen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/en
dc.subjectBridge-vehicle interactionen
dc.subjectStructural health monitoringen
dc.subjectDamage detection markersen
dc.subjectLaser Doppler Vibrometer (LDV)en
dc.subjectDelay Vector Variance Method (DVV)en
dc.subject.lcshBridges--Maintenance and repairen
dc.subject.lcshBridges--Testingen
dc.thesis.opt-outfalse
dc.titleBridge-vehicle interaction for structural health monitoring: potentials, applications, and limitationsen
dc.typeDoctoral thesisen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnamePHD (Engineering)en
ucc.workflow.supervisorv.pakrashi@ucc.ie
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