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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399883/ https://www.ncbi.nlm.nih.gov/pubmed/34450882 http://dx.doi.org/10.3390/s21165439 |
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8399883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83998832021-08-29 Generative Design in Building Information Modelling (BIM): Approaches and Requirements Ma, Wei Wang, Xiangyu Wang, Jun Xiang, Xiaolei Sun, Junbo Sensors (Basel) Review 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. MDPI 2021-08-12 /pmc/articles/PMC8399883/ /pubmed/34450882 http://dx.doi.org/10.3390/s21165439 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review 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 | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399883/ https://www.ncbi.nlm.nih.gov/pubmed/34450882 http://dx.doi.org/10.3390/s21165439 |
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