Research on the Characteristics of Urban Building Cluster Wind Field Based on UAV Wind Measurement
An innovative approach for measuring wind fields in urban building clusters using Unmanned Aerial Vehicles (UAVs) is presented. This method captures the distribution of wind fields within clusters. The results indicate that building architecture has a significant influence on wind flow characteristi...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/13/12/3109 |
| _version_ | 1797381710922383360 |
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| author | Ou Pu Boqiu Yuan Zhengnong Li Terigen Bao Zheng Chen Liwei Yang Hua Qin Zhen Li |
| author_facet | Ou Pu Boqiu Yuan Zhengnong Li Terigen Bao Zheng Chen Liwei Yang Hua Qin Zhen Li |
| author_sort | Ou Pu |
| collection | DOAJ |
| description | An innovative approach for measuring wind fields in urban building clusters using Unmanned Aerial Vehicles (UAVs) is presented. This method captures the distribution of wind fields within clusters. The results indicate that building architecture has a significant influence on wind flow characteristics at 15 m and 25 m height levels. Particularly, areas adjacent to the buildings and the wake section exhibit notable variations in wind speed and turbulence intensity compared to the incoming flow. The regions most affected include the areas flanking the buildings on either side and the intermediate section of the wake. The flow separation and convergence of incoming wind from the windward sides of the buildings notably amplify the wind load, resulting in a significant shift in wind speed and turbulence intensity within pedestrian pathways. The use of UAVs for wind measurements enables a flexible and efficient assessment of urban wind fields. These findings pave the way for further research into wind field measurements in urban architecture and a better understanding of the interference effects of buildings. |
| first_indexed | 2024-03-08T20:55:22Z |
| format | Article |
| id | doaj.art-15c1c46d710e47799c320a5e85eb51c1 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-08T20:55:22Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-15c1c46d710e47799c320a5e85eb51c12023-12-22T13:58:30ZengMDPI AGBuildings2075-53092023-12-011312310910.3390/buildings13123109Research on the Characteristics of Urban Building Cluster Wind Field Based on UAV Wind MeasurementOu Pu0Boqiu Yuan1Zhengnong Li2Terigen Bao3Zheng Chen4Liwei Yang5Hua Qin6Zhen Li7Power Grid Planning Research Center, Guangxi Power Grid Co., Ltd., Nanning 530023, ChinaPower Grid Planning Research Center, Guangxi Power Grid Co., Ltd., Nanning 530023, ChinaKey Laboratory of Building Safety and Energy Efficiency of the Ministry of Education, Hunan University, Changsha 410082, ChinaKey Laboratory of Building Safety and Energy Efficiency of the Ministry of Education, Hunan University, Changsha 410082, ChinaSchool of Civil Engineering and Architecture, State Key Laboratory of Featured Metal Materials and Life-Cycle Safety for Composite Structures, Guangxi University, Nanning 530004, ChinaPower Grid Planning Research Center, Guangxi Power Grid Co., Ltd., Nanning 530023, ChinaPower Grid Planning Research Center, Guangxi Power Grid Co., Ltd., Nanning 530023, ChinaPower Grid Planning Research Center, Guangxi Power Grid Co., Ltd., Nanning 530023, ChinaAn innovative approach for measuring wind fields in urban building clusters using Unmanned Aerial Vehicles (UAVs) is presented. This method captures the distribution of wind fields within clusters. The results indicate that building architecture has a significant influence on wind flow characteristics at 15 m and 25 m height levels. Particularly, areas adjacent to the buildings and the wake section exhibit notable variations in wind speed and turbulence intensity compared to the incoming flow. The regions most affected include the areas flanking the buildings on either side and the intermediate section of the wake. The flow separation and convergence of incoming wind from the windward sides of the buildings notably amplify the wind load, resulting in a significant shift in wind speed and turbulence intensity within pedestrian pathways. The use of UAVs for wind measurements enables a flexible and efficient assessment of urban wind fields. These findings pave the way for further research into wind field measurements in urban architecture and a better understanding of the interference effects of buildings.https://www.mdpi.com/2075-5309/13/12/3109field measurementbuilding wake flowUAV wind measurement systemsurface roughness indexwind field characteristics |
| spellingShingle | Ou Pu Boqiu Yuan Zhengnong Li Terigen Bao Zheng Chen Liwei Yang Hua Qin Zhen Li Research on the Characteristics of Urban Building Cluster Wind Field Based on UAV Wind Measurement Buildings field measurement building wake flow UAV wind measurement system surface roughness index wind field characteristics |
| title | Research on the Characteristics of Urban Building Cluster Wind Field Based on UAV Wind Measurement |
| title_full | Research on the Characteristics of Urban Building Cluster Wind Field Based on UAV Wind Measurement |
| title_fullStr | Research on the Characteristics of Urban Building Cluster Wind Field Based on UAV Wind Measurement |
| title_full_unstemmed | Research on the Characteristics of Urban Building Cluster Wind Field Based on UAV Wind Measurement |
| title_short | Research on the Characteristics of Urban Building Cluster Wind Field Based on UAV Wind Measurement |
| title_sort | research on the characteristics of urban building cluster wind field based on uav wind measurement |
| topic | field measurement building wake flow UAV wind measurement system surface roughness index wind field characteristics |
| url | https://www.mdpi.com/2075-5309/13/12/3109 |
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