Generative Design in Building Information Modelling (BIM): Approaches and Requirements
The integration of generative design (GD) and building information modelling (BIM), as a new technology consolidation, can facilitate the constructability of GD’s automatic design solutions, while improving BIM’s capability in the early design phase. Thus, there has been an increasing interest to st...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/16/5439 |
| _version_ | 1797522080409845760 |
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| author | Wei Ma Xiangyu Wang Jun Wang Xiaolei Xiang Junbo Sun |
| author_facet | Wei Ma Xiangyu Wang Jun Wang Xiaolei Xiang Junbo Sun |
| author_sort | Wei Ma |
| collection | DOAJ |
| description | The integration of generative design (GD) and building information modelling (BIM), as a new technology consolidation, can facilitate the constructability of GD’s automatic design solutions, while improving BIM’s capability in the early design phase. Thus, there has been an increasing interest to study GD-BIM, with current focuses mainly on exploring applications and investigating tools. However, there are a lack of studies regarding methodological relationships and skill requirement based on different development objectives or GD properties; thus, the threshold of developing GD-BIM still seems high. This study conducts a critical review of current approaches for developing GD in BIM, and analyses methodological relationships, skill requirements, and improvement of GD-BIM development. Accordingly, novel perspectives of objective-oriented, GD component-based, and skill-driven GD-BIM development as well as reference guides are proposed. Finally, future research directions, challenges, and potential solutions are discussed. This research aims to guide designers in the building industry to properly determine approaches for developing GD-BIM and inspire researchers’ future studies. |
| first_indexed | 2024-03-10T08:24:25Z |
| format | Article |
| id | doaj.art-6a09d7e860a741c7ad744d03c57f09ca |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T08:24:25Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6a09d7e860a741c7ad744d03c57f09ca2023-11-22T09:39:49ZengMDPI AGSensors1424-82202021-08-012116543910.3390/s21165439Generative Design in Building Information Modelling (BIM): Approaches and RequirementsWei Ma0Xiangyu Wang1Jun Wang2Xiaolei Xiang3Junbo Sun4School of Design and the Built Environment, Curtin University, Bentley, WA 6102, AustraliaSchool of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang 330013, ChinaSchool of Engineering, Design and Built Environment, Western Sydney University, Kingswood, NSW 2747, AustraliaSchool of Design and the Built Environment, Curtin University, Bentley, WA 6102, AustraliaSchool of Design and the Built Environment, Curtin University, Bentley, WA 6102, AustraliaThe integration of generative design (GD) and building information modelling (BIM), as a new technology consolidation, can facilitate the constructability of GD’s automatic design solutions, while improving BIM’s capability in the early design phase. Thus, there has been an increasing interest to study GD-BIM, with current focuses mainly on exploring applications and investigating tools. However, there are a lack of studies regarding methodological relationships and skill requirement based on different development objectives or GD properties; thus, the threshold of developing GD-BIM still seems high. This study conducts a critical review of current approaches for developing GD in BIM, and analyses methodological relationships, skill requirements, and improvement of GD-BIM development. Accordingly, novel perspectives of objective-oriented, GD component-based, and skill-driven GD-BIM development as well as reference guides are proposed. Finally, future research directions, challenges, and potential solutions are discussed. This research aims to guide designers in the building industry to properly determine approaches for developing GD-BIM and inspire researchers’ future studies.https://www.mdpi.com/1424-8220/21/16/5439generative designbuilding information modellingtechnology integrationmethodological relationshipsskill requirement and improvementnovel development perspectives |
| spellingShingle | Wei Ma Xiangyu Wang Jun Wang Xiaolei Xiang Junbo Sun Generative Design in Building Information Modelling (BIM): Approaches and Requirements Sensors generative design building information modelling technology integration methodological relationships skill requirement and improvement novel development perspectives |
| title | Generative Design in Building Information Modelling (BIM): Approaches and Requirements |
| title_full | Generative Design in Building Information Modelling (BIM): Approaches and Requirements |
| title_fullStr | Generative Design in Building Information Modelling (BIM): Approaches and Requirements |
| title_full_unstemmed | Generative Design in Building Information Modelling (BIM): Approaches and Requirements |
| title_short | Generative Design in Building Information Modelling (BIM): Approaches and Requirements |
| title_sort | generative design in building information modelling bim approaches and requirements |
| topic | generative design building information modelling technology integration methodological relationships skill requirement and improvement novel development perspectives |
| url | https://www.mdpi.com/1424-8220/21/16/5439 |
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