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- Publisher Website: 10.1016/j.jclepro.2020.123505
- Scopus: eid_2-s2.0-85089736108
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Article: BIM-enabled computerized design and digital fabrication of industrialized buildings: A case study
Title | BIM-enabled computerized design and digital fabrication of industrialized buildings: A case study |
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Authors | |
Keywords | Building information modeling Industrialized building Prefabrication Construction automation Computational design 3D printing |
Issue Date | 2021 |
Citation | Journal of Cleaner Production, 2021, v. 278, article no. 123505 How to Cite? |
Abstract | © 2020 Elsevier Ltd Industrialized construction leverages factory-based manufacturing and lean-site assembly to achieve higher industrial efficiency. Building information modeling (BIM) offers new opportunities to underpin the computerized design and fabrication of industrialized buildings, providing greater productivity and cost-effectiveness. In this study, attempts are made to review the state-of-the-art BIM applications on design and prefabrication automation of industrialized buildings, with more emphasis on the recent achievement in concrete 3D printing technology. Following this, a BIM method is proposed to support the detailed geometry design and digital fabrication of modular housings. A program interfaced within BIM is developed and demonstrated through discussions on its capacity in generating the geometry details of 3D-printed modules. In addition, robotic simulation of 3D printing is performed to explore a flexible plan in producing the 3D-printed modules or components. The lessons learned from the study are discussed to highlight the future research challenges and opportunities. First, as current Industry Foundation Classes-based BIM model provides limited support to prefabrication, research on BIM open standards demands more attentions to interoperate the computerized design and computer-aided manufacturing. Moreover, today's industrialized buildings consist of sophisticated architectural, structural, and mechanical systems that are intervened across the whole life cycle, more research on the interdependent building systems is needed (via digital twins) to optimize the life cycle performance. When moving towards data-driven decision making, there are research needs to expand Internet of Things and Artificial Intelligence to collect the big data from prefabrication, perform predictive analysis, and optimize the control decisions for manufacturing facilities operations. This study illustrates the process and future work in BIM design and prefabrication automation that can assist practitioners to enhance the quality of industrialized construction. |
Persistent Identifier | http://hdl.handle.net/10722/286817 |
ISSN | 2023 Impact Factor: 9.7 2023 SCImago Journal Rankings: 2.058 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | He, Rui | - |
dc.contributor.author | Li, Mingkai | - |
dc.contributor.author | Gan, Vincent J.L. | - |
dc.contributor.author | Ma, Jun | - |
dc.date.accessioned | 2020-09-07T11:45:45Z | - |
dc.date.available | 2020-09-07T11:45:45Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Journal of Cleaner Production, 2021, v. 278, article no. 123505 | - |
dc.identifier.issn | 0959-6526 | - |
dc.identifier.uri | http://hdl.handle.net/10722/286817 | - |
dc.description.abstract | © 2020 Elsevier Ltd Industrialized construction leverages factory-based manufacturing and lean-site assembly to achieve higher industrial efficiency. Building information modeling (BIM) offers new opportunities to underpin the computerized design and fabrication of industrialized buildings, providing greater productivity and cost-effectiveness. In this study, attempts are made to review the state-of-the-art BIM applications on design and prefabrication automation of industrialized buildings, with more emphasis on the recent achievement in concrete 3D printing technology. Following this, a BIM method is proposed to support the detailed geometry design and digital fabrication of modular housings. A program interfaced within BIM is developed and demonstrated through discussions on its capacity in generating the geometry details of 3D-printed modules. In addition, robotic simulation of 3D printing is performed to explore a flexible plan in producing the 3D-printed modules or components. The lessons learned from the study are discussed to highlight the future research challenges and opportunities. First, as current Industry Foundation Classes-based BIM model provides limited support to prefabrication, research on BIM open standards demands more attentions to interoperate the computerized design and computer-aided manufacturing. Moreover, today's industrialized buildings consist of sophisticated architectural, structural, and mechanical systems that are intervened across the whole life cycle, more research on the interdependent building systems is needed (via digital twins) to optimize the life cycle performance. When moving towards data-driven decision making, there are research needs to expand Internet of Things and Artificial Intelligence to collect the big data from prefabrication, perform predictive analysis, and optimize the control decisions for manufacturing facilities operations. This study illustrates the process and future work in BIM design and prefabrication automation that can assist practitioners to enhance the quality of industrialized construction. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Cleaner Production | - |
dc.subject | Building information modeling | - |
dc.subject | Industrialized building | - |
dc.subject | Prefabrication | - |
dc.subject | Construction automation | - |
dc.subject | Computational design | - |
dc.subject | 3D printing | - |
dc.title | BIM-enabled computerized design and digital fabrication of industrialized buildings: A case study | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.jclepro.2020.123505 | - |
dc.identifier.scopus | eid_2-s2.0-85089736108 | - |
dc.identifier.hkuros | 325697 | - |
dc.identifier.volume | 278 | - |
dc.identifier.spage | article no. 123505 | - |
dc.identifier.epage | article no. 123505 | - |
dc.identifier.isi | WOS:000595260600013 | - |
dc.identifier.issnl | 0959-6526 | - |