Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/30386
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dc.contributor.authorMatos, Raquelpt_PT
dc.contributor.authorRodrigues, Fernandapt_PT
dc.contributor.authorRodrigues, Hugopt_PT
dc.contributor.authorCosta, Aníbalpt_PT
dc.date.accessioned2021-01-28T18:34:43Z-
dc.date.available2021-01-28T18:34:43Z-
dc.date.issued2021-06-
dc.identifier.issn2352-7102pt_PT
dc.identifier.urihttp://hdl.handle.net/10773/30386-
dc.description.abstractThe buildings natural ageing along with the absence of planned maintenance actions and the effects of climate changes accelerate the building materials degradation. So, to extend the materials’ service life, the application of appropriate maintenance actions is imperative. This work aims to assess the building performance and to prioritize the maintenance actions employing Key Performance Indicators using Building Information Modelling-(BIM) as a supporting tool for Building Condition Assessment-(BCA) and maintenance management. To achieve these goals a methodology was proposed and applied to a case study involving 1) Building data collection; 2) Building Life Cycle Cost estimation, and 3) Automated calculation of Building Performance Indicator. This research application highlights the importance of BIM role in buildings' Facility Management, allowing the model's permanent update of information, in this case for BCA purposes. It also has high potential to prioritize the building maintenance actions, extending its materials service life, which contribute to attain a sustainable built environment.pt_PT
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relationSFRH/BD/147532/2019pt_PT
dc.rightsrestrictedAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBuilding condition assessment (BCA)pt_PT
dc.subjectKey performance indicators (KPIs)pt_PT
dc.subjectBuilding performancept_PT
dc.subjectSustainabilitypt_PT
dc.subjectBuilding information modellingpt_PT
dc.titleBuilding Condition Assessment supported by Building Information Modellingpt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.titleJournal of Building Engineeringpt_PT
degois.publication.volume38pt_PT
dc.identifier.doi10.1016/j.jobe.2021.102186pt_PT
dc.identifier.essn2352-7102pt_PT
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