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

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...

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Main Authors: Jose Daniel Cuellar Lobo, Zhen Lei, Hexu Liu, Hong Xian Li, SangHyeok Han
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/6638236
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author Jose Daniel Cuellar Lobo
Zhen Lei
Hexu Liu
Hong Xian Li
SangHyeok Han
author_facet Jose Daniel Cuellar Lobo
Zhen Lei
Hexu Liu
Hong Xian Li
SangHyeok Han
author_sort Jose Daniel Cuellar Lobo
collection DOAJ
description 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.
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publishDate 2021-01-01
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series Advances in Civil Engineering
spelling doaj-art-a7002332efc0450d93f74b3c9399871a2025-08-20T03:38:49ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/66382366638236Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated ConstructionJose Daniel Cuellar Lobo0Zhen Lei1Hexu Liu2Hong Xian Li3SangHyeok Han4Department of Civil Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, CanadaDepartment of Civil Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, CanadaDepartment of Civil and Construction Engineering, Western Michigan University, Kalamazoo 49008-5316, MI, USASchool of Architecture & Built Environment, Deakin University, Geelong 3220, AustraliaDepartment of Building, Civil, and Environmental Engineering, Concordia University, Montreal H3G 1M8, CanadaIn 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.http://dx.doi.org/10.1155/2021/6638236
spellingShingle Jose Daniel Cuellar Lobo
Zhen Lei
Hexu Liu
Hong Xian Li
SangHyeok Han
Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction
Advances in Civil Engineering
title Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction
title_full Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction
title_fullStr Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction
title_full_unstemmed Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction
title_short Building Information Modelling- (BIM-) Based Generative Design for Drywall Installation Planning in Prefabricated Construction
title_sort building information modelling bim based generative design for drywall installation planning in prefabricated construction
url http://dx.doi.org/10.1155/2021/6638236
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