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dc.contributor.authorPaal, Stephanie Germanen
dc.contributor.authorBrilakis, Ioannisen
dc.contributor.authorDesRoches, Reginalden
dc.date.accessioned2015-02-18T15:54:10Z
dc.date.available2015-02-18T15:54:10Z
dc.date.issued2014-11-20en
dc.identifier.citationJournal of Structural Engineering 2015, 141(9), 04014228. DOI: http://dx.doi.org/10.1061/(ASCE)ST.1943-541X.0001200en
dc.identifier.issn0733-9445
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/246882
dc.description.abstractIn emergency scenarios, immediate reconnaissance efforts are necessary. These efforts often take months to complete in full. While underway, building occupants are unable to return to their homes/businesses, and thus, the impact on the society of the disaster-stricken region is increased. In order to mitigate the impact, researchers have focused on creating a more efficient means of assessing the condition of buildings in the post-disaster state. In this paper, a machine vision-based methodology for real-time post-earthquake safety assessment is presented. A novel method of retrieving spalled properties on reinforced concrete (RC) columns in RC frame buildings using image data is presented. In this method, the spalled region is detected using a local entropy-based approach. Following this, the depth properties are retrieved using contextual information pertaining to the amount and type of reinforcement which is exposed. The method is validated using a dataset of damaged RC column images.
dc.description.sponsorshipThis material is based in part upon work supported by the National Science Foundation under Grant Numbers CMMI-1034845 and CMMI-0738417.
dc.languageEnglishen
dc.language.isoenen
dc.publisherAmerican Society of Civil Engineers
dc.titleAutomated measurement of concrete spalling through reinforcement detectionen
dc.typeArticle
dc.description.versionThis is the accepted manuscript. The final version is available from ASCE at http://dx.doi.org/10.1061/(ASCE)ST.1943-541X.0001200en
prism.publicationDate2014en
prism.publicationNameJournal of Structural Engineeringen
prism.volume141en
dc.rioxxterms.funderNSF
rioxxterms.versionofrecord10.1061/(ASCE)ST.1943-541X.0001200en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2014-11-20en
dc.contributor.orcidBrilakis, Ioannis [0000-0003-1829-2083]
dc.identifier.eissn1943-541X
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idEPSRC (EP/I019308/1)
pubs.funder-project-idEPSRC (EP/K000314/1)
pubs.funder-project-idEPSRC (EP/L010917/1)


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