Generative design in building information modelling (Bim): Approaches and requirements
dc.contributor.author | Ma, Wei | |
dc.contributor.author | Wang, Xiangyu | |
dc.contributor.author | Wang, Jun | |
dc.contributor.author | Xiang, Xiaolei | |
dc.contributor.author | Sun, Junbo | |
dc.date.accessioned | 2023-03-14T04:57:00Z | |
dc.date.available | 2023-03-14T04:57:00Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Ma, W. and Wang, X. and Wang, J. and Xiang, X. and Sun, J. 2021. Generative design in building information modelling (Bim): Approaches and requirements. Sensors. 21 (16): ARTN 5439. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/90926 | |
dc.identifier.doi | 10.3390/s21165439 | |
dc.description.abstract |
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. | |
dc.language | English | |
dc.publisher | MDPI | |
dc.relation.sponsoredby | http://purl.org/au-research/grants/arc/LP180100222 | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Science & Technology | |
dc.subject | Physical Sciences | |
dc.subject | Technology | |
dc.subject | Chemistry, Analytical | |
dc.subject | Engineering, Electrical & Electronic | |
dc.subject | Instruments & Instrumentation | |
dc.subject | Chemistry | |
dc.subject | Engineering | |
dc.subject | generative design | |
dc.subject | building information modelling | |
dc.subject | technology integration | |
dc.subject | methodological relationships | |
dc.subject | skill requirement and improvement | |
dc.subject | novel development perspectives | |
dc.subject | DIGITAL WORKFLOWS | |
dc.subject | FRAMEWORK | |
dc.subject | ARCHITECTURE | |
dc.subject | PERFORMANCE | |
dc.subject | CUSTOMIZATION | |
dc.subject | INTEGRATION | |
dc.subject | COMPOSITE | |
dc.subject | building information modelling | |
dc.subject | generative design | |
dc.subject | methodological relationships | |
dc.subject | novel development perspectives | |
dc.subject | skill requirement and improvement | |
dc.subject | technology integration | |
dc.subject | Construction Industry | |
dc.subject | Construction Industry | |
dc.title | Generative design in building information modelling (Bim): Approaches and requirements | |
dc.type | Journal Article | |
dcterms.source.volume | 21 | |
dcterms.source.number | 16 | |
dcterms.source.issn | 1424-8220 | |
dcterms.source.title | Sensors | |
dc.date.updated | 2023-03-14T04:57:00Z | |
curtin.department | School of Design and the Built Environment | |
curtin.accessStatus | Open access | |
curtin.faculty | Faculty of Humanities | |
curtin.contributor.orcid | Wang, Xiangyu [0000-0001-8718-6941] | |
curtin.contributor.orcid | Wang, Jun [0000-0003-3384-4050] | |
curtin.contributor.researcherid | Wang, Xiangyu [B-6232-2013] | |
curtin.identifier.article-number | ARTN 5439 | |
dcterms.source.eissn | 1424-8220 | |
curtin.contributor.scopusauthorid | Wang, Xiangyu [35323443600] [56021280800] [57193394615] [57196469993] [57200031213] [8945580300] | |
curtin.repositoryagreement | V3 |