Abstract
Two-dimensional (2-d) cutting components are essential in the Architecture, Engineering, and Construction (AEC) industry. However, due to the complexity of computing cut components' reuse, the 2-d cutting component still lacks appropriate design-aid tools to generate accurate graphical and numerical results in the architectural design process, leading to material waste and hindering the entry of intelligent technologies. This research proposed a grid-based planning workflow based on the BIM and parametric design (PD) to accurately generate and optimize 2-d cutting components' planning. The proposed workflow combined the “2-d bin packing problem” problem-solving method in operations research to compute the components' reuse. Moreover, an evolutionary algorithm was used to enable the workflow can goal-oriented optimize the design alternatives according to requirements, expanding the workflow's adaptability. A prototype system was developed to verify the proposed workflow. The results show that compared with current design-aid approaches, the proposed workflow can generate accurate graphical and numerical results while reducing material waste by 7%–12% due to the refined design. The outcomes improve the intelligence of the AEC industry while promoting the industry's sustainable development. © 2023 Elsevier Ltd
| Original language | English |
|---|---|
| Article number | 107156 |
| Journal | Journal of Building Engineering |
| Volume | 76 |
| Online published | 21 Jun 2023 |
| DOIs | |
| Publication status | Published - 1 Oct 2023 |
Funding
This research was supported by the Excellent Youth Fund, Hunan Provincial Education Department (22B0294), and Youth Science Foundation Project, National Natural Science Foundation of China (52008033).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- Applied mathematics
- Design algorithm
- Goal-oriented optimization
- Parametric design
- Two-dimensional cutting components
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.
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