From BIM to computational BIM: A systematic review of visual programming application in building research
The architecture, engineering, construction, and operation (AECO) industry has embraced the combination of building information modelling (BIM) and computational algorithms to advance digital transformations. Computational BIM has enabled the development and testing of various BIM-based solutions fo...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Ain Shams Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447924005549 |
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| author | Taki Eddine Seghier Chavanont Khosakitchalert Ziwen Liu Chukwuka Christian Ohueri Yaik-Wah Lim Ahmad Fahmi Bin Zainazlan |
| author_facet | Taki Eddine Seghier Chavanont Khosakitchalert Ziwen Liu Chukwuka Christian Ohueri Yaik-Wah Lim Ahmad Fahmi Bin Zainazlan |
| author_sort | Taki Eddine Seghier |
| collection | DOAJ |
| description | The architecture, engineering, construction, and operation (AECO) industry has embraced the combination of building information modelling (BIM) and computational algorithms to advance digital transformations. Computational BIM has enabled the development and testing of various BIM-based solutions for the building industry. This study conducted a systematic review of the application of computational BIM through visual programming (VP) in building research. The study employed a hybrid approach of bibliometrics and content analyses using seventy-nine publications filtered from Scopus and Web of Science databases. The bibliometric analysis identified publication frequency trends, journal distributions, country distributions, eminent authors, co-authorship networks, and keyword co-occurrence networks. The content analysis identified six key research themes and four major methodological roles of computational BIM in building research. A research framework is proposed to summarize and articulate the state of the art of computational BIM application in building research, research gaps, and future research directions. |
| format | Article |
| id | doaj-art-aa5890e9f7c449bdb0fc145ae369732f |
| institution | Kabale University |
| issn | 2090-4479 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj-art-aa5890e9f7c449bdb0fc145ae369732f2025-01-17T04:49:18ZengElsevierAin Shams Engineering Journal2090-44792025-01-01161103173From BIM to computational BIM: A systematic review of visual programming application in building researchTaki Eddine Seghier0Chavanont Khosakitchalert1Ziwen Liu2Chukwuka Christian Ohueri3Yaik-Wah Lim4Ahmad Fahmi Bin Zainazlan5Department of Architecture, Effat University, Jeddah 22332, Saudi ArabiaDepartment of Architecture, Faculty of Architecture, Chulalongkorn University, Bangkok, Thailand; Corresponding author.Department of the Built Environment, College of Design and Engineering, National University of Singapore, 4 Architecture Drive, 117566, Singapore; BuildingSMART China (bSC), 9 Shouti Road South, Haidian District, Beijing 100044, ChinaDepartment of Construction Project Management, School of Housing, Building and Planning, Universiti Sains Malaysia (USM), 11800 Penang, MalaysiaDepartment of Architecture, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru, Malaysia; Centre for the Study of Built Environment in the Malay World (KALAM), Institute for Smart Infrastructure and Innovative Construction (ISIIC), UTM, MalaysiaSchool of Architecture, Building and Design, Taylor’s University, MalaysiaThe architecture, engineering, construction, and operation (AECO) industry has embraced the combination of building information modelling (BIM) and computational algorithms to advance digital transformations. Computational BIM has enabled the development and testing of various BIM-based solutions for the building industry. This study conducted a systematic review of the application of computational BIM through visual programming (VP) in building research. The study employed a hybrid approach of bibliometrics and content analyses using seventy-nine publications filtered from Scopus and Web of Science databases. The bibliometric analysis identified publication frequency trends, journal distributions, country distributions, eminent authors, co-authorship networks, and keyword co-occurrence networks. The content analysis identified six key research themes and four major methodological roles of computational BIM in building research. A research framework is proposed to summarize and articulate the state of the art of computational BIM application in building research, research gaps, and future research directions.http://www.sciencedirect.com/science/article/pii/S2090447924005549Computational designBuilding information modellingAlgorithmGenerative designAutomationParametric |
| spellingShingle | Taki Eddine Seghier Chavanont Khosakitchalert Ziwen Liu Chukwuka Christian Ohueri Yaik-Wah Lim Ahmad Fahmi Bin Zainazlan From BIM to computational BIM: A systematic review of visual programming application in building research Ain Shams Engineering Journal Computational design Building information modelling Algorithm Generative design Automation Parametric |
| title | From BIM to computational BIM: A systematic review of visual programming application in building research |
| title_full | From BIM to computational BIM: A systematic review of visual programming application in building research |
| title_fullStr | From BIM to computational BIM: A systematic review of visual programming application in building research |
| title_full_unstemmed | From BIM to computational BIM: A systematic review of visual programming application in building research |
| title_short | From BIM to computational BIM: A systematic review of visual programming application in building research |
| title_sort | from bim to computational bim a systematic review of visual programming application in building research |
| topic | Computational design Building information modelling Algorithm Generative design Automation Parametric |
| url | http://www.sciencedirect.com/science/article/pii/S2090447924005549 |
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