Please use this identifier to cite or link to this item: https://doi.org/10.1088/1757-899X/371/1/012051
Title: BIM for Existing Buildings: Potential Opportunities and Barriers
Authors: Hossain, M.A
Yeoh, J.K.W 
Keywords: Building materials
Construction
Data handling
Geophysical prospecting
Ground penetrating radar systems
Information use
Interoperability
Office buildings
Automation process
Building facilities
Building Information Modelling
Ground Penetration Radar
Information and Communication Technologies
Operation and maintenance
Potential barriers
Systematic analysis
Architectural design
Issue Date: 2018
Citation: Hossain, 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
Rights: Attribution 4.0 International
Abstract: Building 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.
Source Title: IOP Conference Series: Materials Science and Engineering
URI: https://scholarbank.nus.edu.sg/handle/10635/178083
ISSN: 17578981
DOI: 10.1088/1757-899X/371/1/012051
Rights: Attribution 4.0 International
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