Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction. (14th July 2021)
- Record Type:
- Journal Article
- Title:
- Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction. (14th July 2021)
- Main Title:
- Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction
- Authors:
- Cuellar Lobo, Jose Daniel
Lei, Zhen
Liu, Hexu
Li, Hong Xian
Han, SangHyeok - Other Names:
- Shafigh Payam Academic Editor.
- Abstract:
- Abstract : In prefabricated construction, building components are manufactured off-site before shipping to the site for installation. Accurate design and planning are essential for smooth on-site execution and improved efficiency, which requires evaluations of various design options. However, due to the design process's complexity, such evaluations cannot be achieved without automation and optimization. Meanwhile, the recent advancement of digital design technologies (e.g., building information modelling (BIM)) has enabled flexibility in the design process. The integration of BIM with other analytical algorithms also allows optimization of designs, such as the generative design that can parametrize the design. This study proposes a generative design approach that utilizes the optimization of the drywall installation layout to improve overall project efficiency. The framework includes a decision support module that considers environmental, cost, and aesthetic aspects to identify the optimal layout. The framework's practical applicability has been successfully demonstrated through a case study. After implementation, three "best" design alternatives were found according to the decision aspects. The design improvements achieved were 37.5%, 7%, and 54% for the environmental, cost, and aesthetic factors, respectively. Accordingly, practitioners can make better decisions on planning drywall projects. This approach has proven effective in planning drywall installation and can beAbstract : In prefabricated construction, building components are manufactured off-site before shipping to the site for installation. Accurate design and planning are essential for smooth on-site execution and improved efficiency, which requires evaluations of various design options. However, due to the design process's complexity, such evaluations cannot be achieved without automation and optimization. Meanwhile, the recent advancement of digital design technologies (e.g., building information modelling (BIM)) has enabled flexibility in the design process. The integration of BIM with other analytical algorithms also allows optimization of designs, such as the generative design that can parametrize the design. This study proposes a generative design approach that utilizes the optimization of the drywall installation layout to improve overall project efficiency. The framework includes a decision support module that considers environmental, cost, and aesthetic aspects to identify the optimal layout. The framework's practical applicability has been successfully demonstrated through a case study. After implementation, three "best" design alternatives were found according to the decision aspects. The design improvements achieved were 37.5%, 7%, and 54% for the environmental, cost, and aesthetic factors, respectively. Accordingly, practitioners can make better decisions on planning drywall projects. This approach has proven effective in planning drywall installation and can be applied in similar design scenarios for other prefabricated construction processes. … (more)
- Is Part Of:
- Advances in civil engineering. Volume 2021(2021)
- Journal:
- Advances in civil engineering
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-07-14
- Subjects:
- Civil engineering -- Periodicals
Civil engineering
Periodicals
624 - Journal URLs:
- http://bibpurl.oclc.org/web/50276 ↗
http://rzblx1.uni-regensburg.de/ezeit/warpto.phtml?colors=7&jour_id=109850 ↗
https://www.hindawi.com/journals/ace/ ↗ - DOI:
- 10.1155/2021/6638236 ↗
- Languages:
- English
- ISSNs:
- 1687-8086
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 17620.xml