An intelligent planning method to optimize high-density residential layouts considering the influence of wind environments
There is a growing conflict between building density and the comfort of the external environment in residential construction, especially in high-density cities in China. To address this conflict, a sensible building layout has to take both aspects into account. However, it is difficult for tradition...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-01-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S240584402300258X |
| _version_ | 1811173374755340288 |
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| author | Xiaoyu Ying Xiaoying Qin Liying Shen Chunyang Yu Jia Zhang |
| author_facet | Xiaoyu Ying Xiaoying Qin Liying Shen Chunyang Yu Jia Zhang |
| author_sort | Xiaoyu Ying |
| collection | DOAJ |
| description | There is a growing conflict between building density and the comfort of the external environment in residential construction, especially in high-density cities in China. To address this conflict, a sensible building layout has to take both aspects into account. However, it is difficult for traditional planning approaches to produce a sensible building layout. This is partly due to the fact that an architect's subjective experiences are unreliable. On the other hand, the wind environment simulations of professional software are often time-consuming so that they are difficult to apply efficiently in practice. This study therefore focuses on the automatic generation of optimized high-density residential building layouts as well as the fast and accurate calculation of the corresponding wind environments. By combining the automatic optimization function of a genetic algorithm and the prediction function of a fully convolutional neural network, an intelligent planning method is proposed for producing optimal high-density residential building layouts in consideration of the local wind environment. To further verify its practicality and significance, a case study was carried out in the Yangtze River Delta region, China, through the automatic generation of a residential building layout, wind environment simulation, and a scheme comparison for optimization. |
| first_indexed | 2024-04-10T17:45:49Z |
| format | Article |
| id | doaj.art-c5cadbfae7cc40729093598fa005e4ec |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-10T17:45:49Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-c5cadbfae7cc40729093598fa005e4ec2023-02-03T05:00:19ZengElsevierHeliyon2405-84402023-01-0191e13051An intelligent planning method to optimize high-density residential layouts considering the influence of wind environmentsXiaoyu Ying0Xiaoying Qin1Liying Shen2Chunyang Yu3Jia Zhang4Department of Architecture, Hangzhou City University, Hangzhou, 310015, PR ChinaDepartment of Architecture, Hangzhou City University, Hangzhou, 310015, PR China; College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, 310058, PR ChinaDepartment of Architecture, Hangzhou City University, Hangzhou, 310015, PR China; College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, 310058, PR ChinaDepartment of Industrial Design, Hangzhou City University, Hangzhou, 310015, PR ChinaDepartment of Environment Design, Hangzhou City University, Hangzhou, 310015, PR China; Corresponding author.There is a growing conflict between building density and the comfort of the external environment in residential construction, especially in high-density cities in China. To address this conflict, a sensible building layout has to take both aspects into account. However, it is difficult for traditional planning approaches to produce a sensible building layout. This is partly due to the fact that an architect's subjective experiences are unreliable. On the other hand, the wind environment simulations of professional software are often time-consuming so that they are difficult to apply efficiently in practice. This study therefore focuses on the automatic generation of optimized high-density residential building layouts as well as the fast and accurate calculation of the corresponding wind environments. By combining the automatic optimization function of a genetic algorithm and the prediction function of a fully convolutional neural network, an intelligent planning method is proposed for producing optimal high-density residential building layouts in consideration of the local wind environment. To further verify its practicality and significance, a case study was carried out in the Yangtze River Delta region, China, through the automatic generation of a residential building layout, wind environment simulation, and a scheme comparison for optimization.http://www.sciencedirect.com/science/article/pii/S240584402300258XHigh-density residential layoutOutdoor wind environmentAutomatic generationFast predictOptimal solution set |
| spellingShingle | Xiaoyu Ying Xiaoying Qin Liying Shen Chunyang Yu Jia Zhang An intelligent planning method to optimize high-density residential layouts considering the influence of wind environments Heliyon High-density residential layout Outdoor wind environment Automatic generation Fast predict Optimal solution set |
| title | An intelligent planning method to optimize high-density residential layouts considering the influence of wind environments |
| title_full | An intelligent planning method to optimize high-density residential layouts considering the influence of wind environments |
| title_fullStr | An intelligent planning method to optimize high-density residential layouts considering the influence of wind environments |
| title_full_unstemmed | An intelligent planning method to optimize high-density residential layouts considering the influence of wind environments |
| title_short | An intelligent planning method to optimize high-density residential layouts considering the influence of wind environments |
| title_sort | intelligent planning method to optimize high density residential layouts considering the influence of wind environments |
| topic | High-density residential layout Outdoor wind environment Automatic generation Fast predict Optimal solution set |
| url | http://www.sciencedirect.com/science/article/pii/S240584402300258X |
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