Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm
This study aims to optimize the length partitioning of modular MEP systems in building construction using a genetic algorithm, addressing challenges such as avoiding fittings (e.g., tees and crosses) and achieving standardized module lengths. To this end, this paper proposes an optimization method u...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/14/12/3826 |
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| author | Xuefeng Zhao Qiantai Yang Gangwen Yan Xiongtao Fan Yinghui Yang Huizhong Zhang Song Chen |
| author_facet | Xuefeng Zhao Qiantai Yang Gangwen Yan Xiongtao Fan Yinghui Yang Huizhong Zhang Song Chen |
| author_sort | Xuefeng Zhao |
| collection | DOAJ |
| description | This study aims to optimize the length partitioning of modular MEP systems in building construction using a genetic algorithm, addressing challenges such as avoiding fittings (e.g., tees and crosses) and achieving standardized module lengths. To this end, this paper proposes an optimization method utilizing the customization of Revit 2021. The method comprehensively considers factors such as the location of pipe fittings, module length, production, transportation, and installation, achieving a more systematic partitioning of modules. The results show that the optimized partitioning scheme effectively avoids critical pipe fittings, and the optimized module lengths are comparable to those created manually. However, the optimized scheme includes more standardized segments, which is conducive to factory-standardized production. Additionally, cost analysis reveals that production and transportation costs account for a significant proportion of total costs, while lifting costs are relatively low. Furthermore, the presence of modules with non-standard lengths introduces corresponding penalty costs. This paper discusses the advantages and limitations of the proposed method and suggests future directions for further optimizing the algorithm and improving module partitioning. The novelty of this research lies in the integration of a genetic algorithm with BIM software to optimize MEP module partitioning, offering a more efficient and systematic approach to the modular construction process. |
| format | Article |
| id | doaj-art-6b83640b852449be94e2b88e162cb7f9 |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-6b83640b852449be94e2b88e162cb7f92024-12-27T14:15:27ZengMDPI AGBuildings2075-53092024-11-011412382610.3390/buildings14123826Length Optimization of MEP Pipeline Integrated Modular Based on Genetic AlgorithmXuefeng Zhao0Qiantai Yang1Gangwen Yan2Xiongtao Fan3Yinghui Yang4Huizhong Zhang5Song Chen6College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100024, ChinaCollege of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100024, ChinaBeijing Urban Construction Group Co., Ltd., Beijing 100088, ChinaCollege of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100024, ChinaBeijing Urban Construction Group Co., Ltd., Beijing 100088, ChinaBeijing Urban Construction Group Co., Ltd., Beijing 100088, ChinaBeijing Urban Construction Group Co., Ltd., Beijing 100088, ChinaThis study aims to optimize the length partitioning of modular MEP systems in building construction using a genetic algorithm, addressing challenges such as avoiding fittings (e.g., tees and crosses) and achieving standardized module lengths. To this end, this paper proposes an optimization method utilizing the customization of Revit 2021. The method comprehensively considers factors such as the location of pipe fittings, module length, production, transportation, and installation, achieving a more systematic partitioning of modules. The results show that the optimized partitioning scheme effectively avoids critical pipe fittings, and the optimized module lengths are comparable to those created manually. However, the optimized scheme includes more standardized segments, which is conducive to factory-standardized production. Additionally, cost analysis reveals that production and transportation costs account for a significant proportion of total costs, while lifting costs are relatively low. Furthermore, the presence of modules with non-standard lengths introduces corresponding penalty costs. This paper discusses the advantages and limitations of the proposed method and suggests future directions for further optimizing the algorithm and improving module partitioning. The novelty of this research lies in the integration of a genetic algorithm with BIM software to optimize MEP module partitioning, offering a more efficient and systematic approach to the modular construction process.https://www.mdpi.com/2075-5309/14/12/3826Mechanical, Electrical, and Plumbing (MEP)modular designmodule division methodsgenetic algorithmBuilding Information Modeling (BIM) |
| spellingShingle | Xuefeng Zhao Qiantai Yang Gangwen Yan Xiongtao Fan Yinghui Yang Huizhong Zhang Song Chen Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm Buildings Mechanical, Electrical, and Plumbing (MEP) modular design module division methods genetic algorithm Building Information Modeling (BIM) |
| title | Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm |
| title_full | Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm |
| title_fullStr | Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm |
| title_full_unstemmed | Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm |
| title_short | Length Optimization of MEP Pipeline Integrated Modular Based on Genetic Algorithm |
| title_sort | length optimization of mep pipeline integrated modular based on genetic algorithm |
| topic | Mechanical, Electrical, and Plumbing (MEP) modular design module division methods genetic algorithm Building Information Modeling (BIM) |
| url | https://www.mdpi.com/2075-5309/14/12/3826 |
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