The application of computational fluid dynamics to pedestrian level wind safety problem induced by high-rise buildings
Li Lei (李磊)ab, Hu Fei (胡非)a, Cheng Xue-Ling (程雪玲)a, Han Hao-Yu (韩浩玉)a
a State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; b Graduate School of Chinese Academy of Sciences, Beijing 100039, China
Abstract In this paper, the pedestrian level wind safety problem induced by high-rise buildings has been studied using the computational fluid dynamics (CFD) codes Fluent. The verification by use of wind tunnel data shows that Fluent can fairly reproduce the flow field in the areas adjacent to the structure when a realizable k-$\varepsilon$ turbulence model is adopted in calculations. The results of the numerical simulations including seven cases show that the existence of high-rise buildings does increase the wind hazard probability at the pedestrian level; furthermore, the wind direction, the geometric size of structures and the layout of structures can obviously affect the pedestrian level wind environment. However, trees on the pavement do not contribute much in reducing the wind hazard probability.
Received: 03 November 2003
Revised: 18 March 2004
Accepted manuscript online:
Fund: Project supported by the National Natural Science Foundation of China (Grant No 40233030).
Cite this article:
Li Lei (李磊), Hu Fei (胡非), Cheng Xue-Ling (程雪玲), Han Hao-Yu (韩浩玉) The application of computational fluid dynamics to pedestrian level wind safety problem induced by high-rise buildings 2004 Chinese Physics 13 1070
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.