Please use this identifier to cite or link to this item: https://doi.org/10.1088/1757-899X/371/1/012051
DC FieldValue
dc.titleBIM for Existing Buildings: Potential Opportunities and Barriers
dc.contributor.authorHossain, M.A
dc.contributor.authorYeoh, J.K.W
dc.date.accessioned2020-10-20T05:02:44Z
dc.date.available2020-10-20T05:02:44Z
dc.date.issued2018
dc.identifier.citationHossain, M.A, Yeoh, J.K.W (2018). BIM for Existing Buildings: Potential Opportunities and Barriers. IOP Conference Series: Materials Science and Engineering 371 (1) : 12051. ScholarBank@NUS Repository. https://doi.org/10.1088/1757-899X/371/1/012051
dc.identifier.issn17578981
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/178083
dc.description.abstractBuilding Information Modelling (BIM) can play a significant role for better operation and maintenance (O&M) and building facility management (FM) through the use of Information and Communication Technologies (ICT) tools. However, most of the existing buildings have no BIM. Research in creating BIM for existing buildings has received growing attention in recent years. It is evident from current literature that generating BIM for existing building is complex, tedious, time consuming and costly. The objective of this project is to explore potential opportunities and barriers in constructing BIM for existing buildings. Different techniques used in capturing building data such as imaging, 3D scanning, Ground Penetration Radar (GPR), 2D scanned plans and so on, have their pros and cons in terms of high modelling/conversion efforts necessary to construct a semantically rich BIM. Moreover, most of these techniques are complex; require expert knowledge; core steps are still manual; face challenges in handling occlusions/uncertain data; and BIM conversion becomes cumbersome with the BIM's increasing level of detail (LoD). A systematic analysis is done on various techniques used in data capturing and how they are converted into a semantically rich BIM, accuracy of the converted model, interoperability of the generated BIM in terms of functionality, potential barriers in the automation process and how they can be overcome. © Published under licence by IOP Publishing Ltd.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectBuilding materials
dc.subjectConstruction
dc.subjectData handling
dc.subjectGeophysical prospecting
dc.subjectGround penetrating radar systems
dc.subjectInformation use
dc.subjectInteroperability
dc.subjectOffice buildings
dc.subjectAutomation process
dc.subjectBuilding facilities
dc.subjectBuilding Information Modelling
dc.subjectGround Penetration Radar
dc.subjectInformation and Communication Technologies
dc.subjectOperation and maintenance
dc.subjectPotential barriers
dc.subjectSystematic analysis
dc.subjectArchitectural design
dc.typeConference Paper
dc.contributor.departmentCIVIL AND ENVIRONMENTAL ENGINEERING
dc.description.doi10.1088/1757-899X/371/1/012051
dc.description.sourcetitleIOP Conference Series: Materials Science and Engineering
dc.description.volume371
dc.description.issue1
dc.description.page12051
Appears in Collections:Staff Publications
Elements

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1088_1757-899X_371_1_012051.pdf3.12 kBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons