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Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction

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Version 2 2024-06-04, 12:53
Version 1 2021-07-15, 17:18
journal contribution
posted on 2024-06-04, 12:53 authored by JD Cuellar Lobo, Z Lei, H Liu, Hong Xian LiHong Xian Li, S Han
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.

History

Journal

Advances in Civil Engineering

Volume

2021

Article number

ARTN 6638236

Pagination

1 - 16

Location

London, Eng.

Open access

  • Yes

ISSN

1687-8086

eISSN

1687-8094

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Publisher

HINDAWI LTD