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dc.creatorIsailović, Dušan
dc.creatorStojanovic, Vladeta
dc.creatorTrapp, Matthias
dc.creatorRichter, Rico
dc.creatorHajdin, Rade
dc.creatorDöllner, Jürgen
dc.date.accessioned2020-03-09T12:12:49Z
dc.date.available2022-01-24
dc.date.issued2020
dc.identifier.issn0926-5805
dc.identifier.urihttps://grafar.grf.bg.ac.rs/handle/123456789/1857
dc.description.abstractBuilding Information Modeling (BIM) representations of bridges enriched by inspection data will add tremendous value to future Bridge Management Systems (BMSs). This paper presents an approach for point cloud-based detection of spalling damage, as well as integrating damage components into a BIM via semantic enrichment of an as-built Industry Foundation Classes (IFC) model. An approach for generating the as-built BIM, geometric reconstruction of detected damage point clusters and semantic-enrichment of the corresponding IFC model is presented. Multiview-classification is used and evaluated for the detection of spalling damage features. The semantic enrichment of as-built IFC models is based on injecting classified and reconstructed damage clusters back into the as-built IFC, thus generating an accurate as-is IFC model compliant to the BMS inspection requirements."en
dc.language.isoensr
dc.publisherElseviersr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/36038/RS//sr
dc.rightsembargoedAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceAutomation in Constructionsr
dc.subjectDamage detectionsr
dc.subjectBuilding Information Modelingsr
dc.subject3D point cloudssr
dc.subjectMultiview classificationsr
dc.subjectBridge Management Systemssr
dc.titleBridge damage: Detection, IFC-based semantic enrichment and visualizationen
dc.typearticlesr
dc.rights.licenseBY-NC-NDsr
dc.rights.holderElseviersr
dc.citation.rankaM21
dc.citation.volume112
dc.identifier.doi10.1016/j.autcon.2020.103088
dc.identifier.fulltexthttp://grafar.grf.bg.ac.rs/bitstream/id/7125/Bridge_Damage_Paper_Final.pdf
dc.identifier.scopus2-s2.0-85078194587
dc.identifier.wos000526785600012
dc.type.versionacceptedVersionsr


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