| Vol. - No. | Vol.11 - No.4 |
|---|---|
| Date | Dec., 2022 |
| Title |
Multi-objective Optimization of Pedestrian Wind Comfort and Natural Ventilation in a Residential Area |
| Author | H.Y. Peng, S.F. Dai, D. Hu, and H.J. Liu+ |
| Institutions | School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, China |
| Abstract |
With the rapid development of urbanization the problems of pedestrian-level wind comfort and natural ventilation of tall buildings are becoming increasingly prominent. The velocity at the pedestrian level ( ) and variation of wind pressure coefficients between windward and leeward surfaces of tall buildings were investigated systematically through numerical simulations. The examined parameters included building density ?, height ratio of building ?H, width ratio of building ?B, and wind direction ?. The linear and quadratic regression analyses of and were conducted. The quadratic regression had better performance in predicting and than the linear regression. and were optimized by the NSGA-II algorithm. The LINMAP and TOPSIS decision- making methods demonstrated better capability than the Shannon's entropy approach. The final optimal design parameters of buildings were ? = 20%, ?H = 4.5, and ?B = 1, and the wind direction was ? = 10 |
| Keyword |
CFD, pedestrian-level wind comfort, natural ventilation, multi-objective optimization |
| PP. | PP.315~320 |
| Paper File |
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