Numerical Simulation of the Wind Speed Field Around Suburban Residential Buildings with Different Arrangements
Abstract
1. Introduction
2. Methods
2.1. Domain Dimensions and Boundary Conditions
2.2. Computational Meshes
2.3. Solution Method and Model Validation
3. Results and Discussion
3.1. Effects of Building Arrangement
3.2. Effects of the Offset
3.3. Urban Planning Proposals: Taking Wuhan Tianhe Meteorological Station as a Case Study
4. Conclusions
- The concave arrangement outperforms V-shaped layouts; both M-shaped and V-shaped configurations are superior to inclined layouts, which in turn surpass convex arrangements. Thus, the concave arrangement is optimal.
- Larger offsets increase inter-building space breathability, as a result of wind flow entering the inter-building more easily.
- For the area surrounding Wuhan Tianhe Meteorological Station, we propose concave and V-shaped arrangements oriented along the WNW-ESE axis as suitable suburban configurations.
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Appendix A
Case | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
Grid number | 1,261,016 | 1,238,447 | 1,224,506 | 1,203,714 | 1,161,137 | 1,133,866 | 1,226,298 | 1,164,262 |
Case | 9 | 10 | 11 | 12 | 13 | Coarse | Medium | Fine |
Grid number | 1,224,475 | 1,163,513 | 1,229,937 | 1,223,598 | 1,189,853 | 207,513 | 1,224,506 | 4,592,660 |
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Case No. | W | D12 | D23 | D34 | D45 | Building Arrangements |
---|---|---|---|---|---|---|
1 | 4b | 0 | 0 | 0 | 0 | |
2 | 4b | b/2 | b/2 | b/2 | b/2 | |
3 | 4b | b | b | b | b | |
4 | 4b | 3b/2 | 3b/2 | 3b/2 | 3b/2 | |
5 | 3b | b | b | b | b | |
6 | 3b | 2b | 2b | 2b | 2b | |
7 | 4b | 3b/10 | b/2 | b | 11b/5 | |
8 | 3b | 3b/10 | b/2 | b | 11b/5 | |
9 | 4b | 11b/5 | b | b/2 | 3b/10 | |
10 | 3b | 11b/5 | b | b/2 | 3b/10 | |
11 | 4b | 2b | −2b | 2b | −2b | |
12 | 4b | b | b | −b | −b | |
13 | 4b | 2b | 2b | −2b | −2b |
Case No. | 1 | 2 | 3 | 4 | 5 | 6 | |||
vst.1 (m/s) | 1.1325 | 1.0849 | 1.0640 | 1.1488 | 0.96902 | 1.4577 | |||
vst.2 (m/s) | 0.98088 | 0.99137 | 1.1853 | 1.4926 | 1.2601 | 1.9383 | |||
vst.3 (m/s) | 0.94611 | 1.0527 | 1.3961 | 1.6817 | 1.6480 | 2.2349 | |||
vst.4 (m/s) | 0.98300 | 1.4113 | 1.7805 | 1.9198 | 2.1077 | 2.5241 | |||
7 | 8 | 9 | 10 | 11 | 12 | 13 | Inter-building space location | ||
1.0972 | 0.85680 | 1.4718 | 1.6699 | 1.5425 | 1.0852 | 1.4393 | |||
0.92723 | 0.80821 | 1.4674 | 1.4288 | 1.1394 | 1.4027 | 1.9468 | |||
1.1435 | 1.2801 | 1.5991 | 1.7014 | 1.4953 | 1.1339 | 1.2803 | |||
1.8319 | 2.1894 | 1.6738 | 1.8102 | 1.2472 | 1.2222 | 1.8228 |
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Yi, X.; Zhang, S. Numerical Simulation of the Wind Speed Field Around Suburban Residential Buildings with Different Arrangements. Symmetry 2025, 17, 1699. https://doi.org/10.3390/sym17101699
Yi X, Zhang S. Numerical Simulation of the Wind Speed Field Around Suburban Residential Buildings with Different Arrangements. Symmetry. 2025; 17(10):1699. https://doi.org/10.3390/sym17101699
Chicago/Turabian StyleYi, Xuchong, and Shuangxi Zhang. 2025. "Numerical Simulation of the Wind Speed Field Around Suburban Residential Buildings with Different Arrangements" Symmetry 17, no. 10: 1699. https://doi.org/10.3390/sym17101699
APA StyleYi, X., & Zhang, S. (2025). Numerical Simulation of the Wind Speed Field Around Suburban Residential Buildings with Different Arrangements. Symmetry, 17(10), 1699. https://doi.org/10.3390/sym17101699