Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMatos, Raquelpt_PT
dc.contributor.authorRodrigues, Hugopt_PT
dc.contributor.authorCosta, Aníbalpt_PT
dc.contributor.authorRodrigues, Fernandapt_PT
dc.description.abstractThis paper aims to review and reflect upon the built up scientific knowledge on Building Condition Assessment (BCA) using Key Performance Indicators (KPIs), supported by Building Information Modelling (BIM), to implement appropriate maintenance and rehabilitation activities. For this purpose, a literature review related to KPIs applied to BCA and using BIM to BCA has been performed. KPIs applied to BCA were studied and their calibration and validation methods were identified, as well as their potential to support BIM in BCA. Furthermore, current researches in the field of Artificial Intelligence (AI) and Machine Learning (ML) applied to the optimization of BCA were also presented. This work concludes that despite the studies that have been conducted, only a few focuses on KPIs integration in BIM due to some limitations that still exist. These limitations are related to the application of BIM on building inspections and the limitation of KPIs scope and interoperability with BIM. Considering the identified gaps in the most relevant research trends on the subject, the present study discusses the viability of adjustments on KPIs based on reliable validation and calibration methods and combine them to ML algorithms in order to develop a more robust BIM-BCA strategy, thereby filling in the above-mentioned limitations.pt_PT
dc.titleBuilding condition indicators analysis for BIM-FM integrationpt_PT
degois.publication.titleArchives of Computational Methods in Engineeringpt_PT
Appears in Collections:DECivil - Artigos
RISCO - Artigos

Files in This Item:
File Description SizeFormat 
Matos2022_Article_BuildingConditionIndicatorsAna.pdf1.97 MBAdobe PDFrestrictedAccess

Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.