Iterative Investigation of Wind Environments Influenced by Bulge-Part Geometries of Typical T-Form High-Rise Buildings Using Parametric Modelling, CFD and IAs Analysis

Han Guo, Yawen Liu and Yi He ()
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Han Guo: Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources of China, Shenzhen 518040, China
Yawen Liu: School of Computer Science, Hubei University of Technology, Wuhan 430068, China
Yi He: School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China

Sustainability, 2024, vol. 16, issue 8, 1-23

Abstract: Although T-form buildings have been widely observed in newly constructed high-rise residential communities, there have been relatively limited investigations into the influence of their geometries on wind environments. This study aims to address this gap by conducting iterative quantitative assessments of the influences of various bulge-part sizes of typical T-form high-rise residential buildings on surrounding wind environments. A methodology has been employed by integrating multiple computational tools, including parametric modeling, Computational Fluid Dynamics (CFD), and Influenced Areas (IAs) analysis. Representative T-form buildings have been modeled with parametric components, allowing for easy variation of bulge-part sizes. The investigation process involves sequential steps of parametric modeling, experimentally validated CFD simulations, statistical assessment, and subsequent results analysis and discussions. Findings could be summarized as follows: (1) according to IAs analysis, the influences on wind environments were decreased as the bulge-part sizes were increased, and the decrease of the bulge-part sizes could cause the contrary effect; (2) the promotion of outdoor ventilation caused by the increase of the bulge-part length was more than the increase of the bulge-part width according to the correlation coefficients (0.88 > 0.78; 0.88 > 0.76); (3) it was recommended to design relatively large bulge parts on the windward side to enhance outdoor ventilation. The research outcomes provide valuable and insightful information for the development of sustainable architectural design strategies aimed at optimizing natural ventilation.

Keywords: iterative quantitative investigation; wind environments; T-form; high-rise building; multiple computational tools (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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