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CFD Modeling of Pollution Dispersion in Building Array: Evaluation of turbulent scalar flux modeling in RANS model using LES results

机译:CFD建模阵列污染分散模型:利用LES结果评估RANS模型中湍流标量磁通模型

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摘要

Modeling of turbulent scalar flux in CFD (Computational Fluid Dynamics) for near-field dispersion around buildings is examined by investigating both velocity and concentration fields obtained by two modeling approaches, i.e., RANS RNG k-ε and LES. A building array model with a point source located in between the central buildings is adopted as a target configuration. First, the prediction accuracy of LES is confirmed by comparing with the RNGcomputation and the results from an experiment conducted by the authors. LES gives better results than RNG, in terms of time-averaged velocity and concentration distribution in comparison with the wind tunnel experimental results. Next, the eddy viscosity and the eddy diffusivity are determined by LES data using a least square approach as suggested in the dynamic sub-grid scale model. Large differences can be observed between the distributions of the estimated eddy viscosity by using LES data and the eddy diffusivity obtained by RNG, since the eddy diffusivity is not always proportional to the eddy viscosity.
机译:通过研究通过两种建模方法获得的速度和浓度场,通过研究通过两个建模方法获得的速度和浓度区域来模拟CFD(计算流体动力学)中的近场分散。,即RAN RNG K-ε和LES。采用具有位于中央建筑物之间的点源的构建阵列模型作为目标配置。首先,通过与作者进行的实验的rngComputation和结果进行比较来确认LES的预测精度。在与风洞实验结果相比,在时间平均速度和浓度分布方面,LES比RNG更好地提供更好的结果。接下来,涡粘度和涡流扩散率由LES数据使用最小二乘法的LES数据确定,如动态子网格级模型所示。通过使用LES数据和通过RNG获得的涡流扩散率,可以在估计的涡粘度的分布之间观察到大的差异,因为涡流扩散率并不总是与涡粘度成比例。

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