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Large-eddy Simulation For Flow And Dispersion In Urban Streets

机译:城市街道流动与扩散的大涡模拟

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Large-eddy simulations (LES) with our recently developed inflow approach (Xie, Z.-T., Castro, I.P., 2008a. Efficient generation of inflow conditions for large-eddy simulation of street-scale flows. Flow Turbul. Combust, vol. 81(3), pp. 449-470.) have been used for flow and dispersion within a genuine city area -the DAPPLE site, located at the intersection of Marylebone Rd and Gloucester P1 in Central London. Numerical results up to second-order statistics are reported for a computational domain of 1.2 km (streamwise) × 0.8 km (lateral) × 0.2 km (in full scale), with a resolution down to approximately one meter in space and one second in time. They are in reasonable agreement with the experimental data. Such a comprehensive urban geometry is often, as here, composed of staggered, aligned, square arrays of blocks with non-uniform height and non-uniform base, street canyons and intersections. Both the integrative and local effect of flow and dispersion to these geometrical patterns were investigated. For example, it was found that the peaks of spatially averaged u_rms, v_rms, w_rms and <u'w'> occurred neither at the mean height nor at the maximum height, but at the height of large and tall buildings. It was also found that the mean and fluctuating concentrations in the near-source field is highly dependent on the source location and the local geometry pattern, whereas in the far field (e.g. >0.1 km) they are not. In summary, it is demonstrated that full-scale resolution of around one meter is sufficient to yield accurate prediction of the flow and mean dispersion characteristics and to provide reasonable estimation of concentration fluctuations.
机译:使用我们最近开发的流入方法的大涡模拟(LES)(Xie,Z.-T.,Castro,IP,2008a。有效生成街道条件的大涡模拟的流入条件。 (第81(3)页,第449-470页)已用于真实市区内的流动和分散-DAPPLE站点,该站点位于伦敦市中心马里波恩路与格洛斯特P1的交汇处。报告的计算结果为二阶统计量的数值结果为1.2 km(向河)×0.8 km(横向)×0.2 km(满量程),分辨率低至大约一米的空间和一秒的时间。它们与实验数据合理地吻合。如此广泛的城市几何结构通常由交错的,对齐的正方形阵列组成,这些阵列具有不均匀的高度和不均匀的基础,街道峡谷和交叉路口。研究了流动和扩散对这些几何图案的整体和局部效应。例如,发现空间平均u_rms,v_rms,w_rms和<u'w'>的峰值既没有出现在平均高度,也没有出现在最大高度,而是出现在大高层建筑的高度。还发现近源场中的平均浓度和波动浓度高度取决于源位置和局部几何图形,而在远场中(例如> 0.1 km)则不然。总而言之,证明了大约一米的满量程分辨率足以产生对流量和平均分散特性的准确预测,并提供对浓度波动的合理估计。

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