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A CFD-GENERATED WIND FIELD LIBRARY FEASIBILITY STUDY: MAXIMUM WIND DIRECTION INTERVAL

机译:CFD生成的风场库可行性研究:最大风向间隔

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Computational fluid dynamics (CFD) models are capable of computing 3D flow patterns around arbitrary building arrangements and have shown promise for building-to-urban scale transport and dispersion problems (e.g., Murakami, 1997; Brown et al., 2001). However, their utility for planning and assessment applications has been limited due to computational requirements, expertise requisites, and relatively long turn-around time. The possibility of using a library of pre-computed mean wind and turbulence fields for a prescribed urban site has been suggested as a way of circumventing the usual complaints, while simultaneously providing more detailed and accurate information to planners than simpler urban dispersion models. In this paper, we will present a first step in evaluating whether or not this approach is feasible, i.e., examine the computing and storage requirements to build a wind library. To populate such a database, one needs to specify the prevailing wind direction interval. Using Lower Manhattan as a test case, we will try to determine the wind direction interval required to adequately describe flow patterns in a downtown area for transport and dispersion problems.
机译:计算流体动力学(CFD)模型能够计算围绕任意建筑物布置的3D流型,并显示出从建筑物到城市规模的运输和分散问题的希望(例如Murakami,1997; Brown等,2001)。但是,由于计算要求,专业知识要求和相对较长的周转时间,它们在计划和评估应用程序中的用途受到限制。有人建议为指定的城市地点使用预先计算的平均风场和湍流场库,以规避通常的抱怨,同时为规划人员提供比更简单的城市分散模型更为详细和准确的信息。在本文中,我们将介绍评估此方法是否可行的第一步,即检查构建风库的计算和存储需求。为了填充这样的数据库,需要指定主要的风向间隔。以曼哈顿下城为例,我们将尝试确定风向间隔,以充分描述市区内交通和分散问题的流型。

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