广东工业大学 土木与交通工程学院,广东,广州,510006
江升富(1993–),男,硕士研究生,主要研究方向为计算流体力学
汪新(1962–),男,教授,主要研究方向为计算流体力学、城市微气候. E-mail:xinwang@gdut.edu.cn
网络首发:2019-11-28,
纸质出版:2019
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江升富, 汪新, 赵冰春. 中性大气流动的CFD缩尺模拟方法[J]. 广东工业大学学报, 2019, 36(6): 105-110.
Jiang Sheng-fu, Wang Xin, Zhao Bing-chun. CFD Scaled-down Modelling of Neutral Atmospheric Flow[J]. 2019, 36(6): 105-110.
江升富, 汪新, 赵冰春. 中性大气流动的CFD缩尺模拟方法[J]. 广东工业大学学报, 2019, 36(6): 105-110. DOI: 10.12052/gdutxb.190012.
Jiang Sheng-fu, Wang Xin, Zhao Bing-chun. CFD Scaled-down Modelling of Neutral Atmospheric Flow[J]. 2019, 36(6): 105-110. DOI: 10.12052/gdutxb.190012.
CFD(Computational Fluid Dynamic)缩尺模拟可以有效地降低对计算硬件的依赖性
并提高计算效率. 本文利用相似理论推导了中性大气流动的相似流动要求以及对应的边界条件
建立了虚拟流动介质为基础的缩尺方法. 通过对一典型住宅小区的CFD足尺模拟和缩尺模拟比较分析
证明所建立的CFD缩尺模拟方法可以真实再现足尺模型的流动形态及具有较好的模拟精度
并可以有效地达到减少计算开销的目的.
Using the scaled-down model in a CFD (Computational Fluid Dynamic) simulation can deduce the dependence on computational hardware and improve the computational effectiveness. Based on the similarity theory
the method of CFD scaled modelling is proposed for neutral atmospheric flow
including the similarity criteria and corresponding boundary conditions. A virtual flow medium is introduced into the scaled simulation to ensure the requirements of the similarity criterion completely. The proposed method is verified in comparison of the full-scaled modelling with the scale-down one for a typical residential district. It is shown that the scaled-down modelling is of the ability to regenerate the same flow patterns and achieve the accuracy of same order as the full-scaled modeling. Meanwhile
the computational overhead can be reduced effectively.
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