Design for Manufacturing and Assembly: A BIM-Enabled Generative Framework for Building Panelization Design
Offsite construction (OSC) is attracting increasing attention from both industry and academia due to its benefits, such as improved productivity and quality, as well as reduced waste. However, the current building panelization design in OSC is a time-consuming and experience-based manual process, an...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/5554551 |
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| author | Hexu Liu Yuxuan Zhang Zhen Lei Hong Xian Li SangHyeok Han |
| author_facet | Hexu Liu Yuxuan Zhang Zhen Lei Hong Xian Li SangHyeok Han |
| author_sort | Hexu Liu |
| collection | DOAJ |
| description | Offsite construction (OSC) is attracting increasing attention from both industry and academia due to its benefits, such as improved productivity and quality, as well as reduced waste. However, the current building panelization design in OSC is a time-consuming and experience-based manual process, and the generated panelization design may result in unbalanced manufacturing processes. One reason is that the prefabrication of building components involves a highly variable product mix and there is a lack of a computational framework to evaluate panelization design. The objective of this research is, thus, to propose a BIM-based generative framework that automatically generates the design of production components with the aim of improving production productivity. This framework consists of a building information extraction module, a generative design algorithm, and a simulation-based performance evaluation model. The building information extraction module is designed to extract building component information from a BIM model and classify building components into different production groups in accordance with functionalities and materials. The generative design algorithm is then developed to formulate panelization design alternatives in consideration of the structural, production, and logistics constraints. On this basis, the generated panelization designs are quantitatively assessed by a simulation-based evaluation model in terms of productivity. A case study was used to verify and validate the framework. This research contributes to the body of knowledge by a computational framework of building panelization design, which leverages the generative design algorithm and BIM-simulation integration for optimized panelization design. |
| format | Article |
| id | doaj-art-d4dfb1a81c334564976fe963fae3b256 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-d4dfb1a81c334564976fe963fae3b2562025-02-03T01:29:22ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/55545515554551Design for Manufacturing and Assembly: A BIM-Enabled Generative Framework for Building Panelization DesignHexu Liu0Yuxuan Zhang1Zhen Lei2Hong Xian Li3SangHyeok Han4Department of Civil and Construction Engineering, Western Michigan University, Kalamazoo, MI 49008, USADepartment of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, CanadaOffsite Construction Research Centre (OCRC), Department of Civil Engineering, University of New Brunswick, Fredericton, New Brunswick, CanadaSchool of Architecture and Built Environment, Deakin University, Locked Bag 20001, Geelong, Victoria 3220, AustraliaDepartment of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, CanadaOffsite construction (OSC) is attracting increasing attention from both industry and academia due to its benefits, such as improved productivity and quality, as well as reduced waste. However, the current building panelization design in OSC is a time-consuming and experience-based manual process, and the generated panelization design may result in unbalanced manufacturing processes. One reason is that the prefabrication of building components involves a highly variable product mix and there is a lack of a computational framework to evaluate panelization design. The objective of this research is, thus, to propose a BIM-based generative framework that automatically generates the design of production components with the aim of improving production productivity. This framework consists of a building information extraction module, a generative design algorithm, and a simulation-based performance evaluation model. The building information extraction module is designed to extract building component information from a BIM model and classify building components into different production groups in accordance with functionalities and materials. The generative design algorithm is then developed to formulate panelization design alternatives in consideration of the structural, production, and logistics constraints. On this basis, the generated panelization designs are quantitatively assessed by a simulation-based evaluation model in terms of productivity. A case study was used to verify and validate the framework. This research contributes to the body of knowledge by a computational framework of building panelization design, which leverages the generative design algorithm and BIM-simulation integration for optimized panelization design.http://dx.doi.org/10.1155/2021/5554551 |
| spellingShingle | Hexu Liu Yuxuan Zhang Zhen Lei Hong Xian Li SangHyeok Han Design for Manufacturing and Assembly: A BIM-Enabled Generative Framework for Building Panelization Design Advances in Civil Engineering |
| title | Design for Manufacturing and Assembly: A BIM-Enabled Generative Framework for Building Panelization Design |
| title_full | Design for Manufacturing and Assembly: A BIM-Enabled Generative Framework for Building Panelization Design |
| title_fullStr | Design for Manufacturing and Assembly: A BIM-Enabled Generative Framework for Building Panelization Design |
| title_full_unstemmed | Design for Manufacturing and Assembly: A BIM-Enabled Generative Framework for Building Panelization Design |
| title_short | Design for Manufacturing and Assembly: A BIM-Enabled Generative Framework for Building Panelization Design |
| title_sort | design for manufacturing and assembly a bim enabled generative framework for building panelization design |
| url | http://dx.doi.org/10.1155/2021/5554551 |
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