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 solu-tions, while improving BIM’s capability in the early design phase. Thus, there has been an increasing interest to s...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
MDPI
2021
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| Subjects: | |
| Online Access: | http://purl.org/au-research/grants/arc/LP180100222 http://hdl.handle.net/20.500.11937/90926 |
| _version_ | 1848765462688563200 |
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| author | Ma, Wei Wang, Xiangyu Wang, Jun Xiang, Xiaolei Sun, Junbo |
| author_facet | Ma, Wei Wang, Xiangyu Wang, Jun Xiang, Xiaolei Sun, Junbo |
| author_sort | Ma, Wei |
| building | Curtin Institutional Repository |
| collection | Online Access |
| 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 solu-tions, 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 de-signers in the building industry to properly determine approaches for developing GD‐BIM and in-spire researchers’ future studies. |
| first_indexed | 2025-11-14T11:35:38Z |
| format | Journal Article |
| id | curtin-20.500.11937-90926 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:35:38Z |
| publishDate | 2021 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-909262023-05-08T07:50:38Z Generative design in building information modelling (Bim): Approaches and requirements Ma, Wei Wang, Xiangyu Wang, Jun Xiang, Xiaolei Sun, Junbo Science & Technology Physical Sciences Technology Chemistry, Analytical Engineering, Electrical & Electronic Instruments & Instrumentation Chemistry Engineering generative design building information modelling technology integration methodological relationships skill requirement and improvement novel development perspectives DIGITAL WORKFLOWS FRAMEWORK ARCHITECTURE PERFORMANCE CUSTOMIZATION INTEGRATION COMPOSITE building information modelling generative design methodological relationships novel development perspectives skill requirement and improvement technology integration Construction Industry Construction Industry 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 solu-tions, 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 de-signers in the building industry to properly determine approaches for developing GD‐BIM and in-spire researchers’ future studies. 2021 Journal Article http://hdl.handle.net/20.500.11937/90926 10.3390/s21165439 English http://purl.org/au-research/grants/arc/LP180100222 http://creativecommons.org/licenses/by/4.0/ MDPI fulltext |
| spellingShingle | Science & Technology Physical Sciences Technology Chemistry, Analytical Engineering, Electrical & Electronic Instruments & Instrumentation Chemistry Engineering generative design building information modelling technology integration methodological relationships skill requirement and improvement novel development perspectives DIGITAL WORKFLOWS FRAMEWORK ARCHITECTURE PERFORMANCE CUSTOMIZATION INTEGRATION COMPOSITE building information modelling generative design methodological relationships novel development perspectives skill requirement and improvement technology integration Construction Industry Construction Industry Ma, Wei Wang, Xiangyu Wang, Jun Xiang, Xiaolei Sun, Junbo Generative design in building information modelling (Bim): Approaches and requirements |
| 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 | Science & Technology Physical Sciences Technology Chemistry, Analytical Engineering, Electrical & Electronic Instruments & Instrumentation Chemistry Engineering generative design building information modelling technology integration methodological relationships skill requirement and improvement novel development perspectives DIGITAL WORKFLOWS FRAMEWORK ARCHITECTURE PERFORMANCE CUSTOMIZATION INTEGRATION COMPOSITE building information modelling generative design methodological relationships novel development perspectives skill requirement and improvement technology integration Construction Industry Construction Industry |
| url | http://purl.org/au-research/grants/arc/LP180100222 http://hdl.handle.net/20.500.11937/90926 |