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dc.creatorLazarević, Luka
dc.creatorVučković, Dejan
dc.creatorMićić, Milica
dc.creatorPopović, Zdenka
dc.date.accessioned2019-04-19T14:28:55Z
dc.date.available2019-04-19T14:28:55Z
dc.date.issued2018
dc.identifier.issn1475-9217
dc.identifier.urihttps://grafar.grf.bg.ac.rs/handle/123456789/909
dc.description.abstractThis article presents results obtained in the research conducted on railway infrastructure in Serbia, which aimed at prediction of substructure condition based on the analysis of track quality. It presents the results of seismic tomography application as non-destructive procedure for assessment of railway substructure condition. Track geometry quality was assessed according to analysis of longitudinal level data, which was recorded during regular track geometry inspections. Track section for application of seismic tomography was chosen on the basis of analysed track geometry data recorded during the regular track geometry inspections in 2006, 2008, 2009, 2012, 2013 and 2014. Tomographic imaging of railway platform on Test Section enabled the creation of two-dimensional finite element model, which was used for determination of propagation speed of seismic P-waves. Seismic tomography on Test Section, which is the part of the international railway line Belgrade–Vrbnica, was performed in 2014. Obtained tomographic image was discussed and compared to track geometry data recorded during the regular track geometry inspections.en
dc.publisherSAGE Publications Ltd
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/36012/RS//
dc.rightsrestrictedAccess
dc.sourceStructural Health Monitoring
dc.subjectgeometry deteriorationen
dc.subjectmaintenanceen
dc.subjectRailwayen
dc.subjectseismic tomographyen
dc.subjectsubstructure conditionen
dc.titleApplication of seismic tomography for assessment of the railway substructure conditionen
dc.typearticle
dc.rights.licenseARR
dc.citation.rankaM21
dc.identifier.doi10.1177/1475921718774778
dc.identifier.scopus2-s2.0-85047787040
dc.identifier.wos000465318500010
dc.type.versionpublishedVersion


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