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Evaluation of Reynolds stress, k-ε and RNG k-ε turbulence models in street canyon flows using various experimental datasets

机译:使用各种实验数据集评估街道峡谷流中的雷诺应力,k-ε和RNGk-ε湍流模型

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In this study the Reynolds-averaged Navier-Stokes computational fluid dynamics methodology is used, which has proved to be a powerful tool for the simulations of the airflow and pollutant dispersion in the atmospheric environment. The interest is focused on the urban areas and more specifically on the street canyons, several types of which are examined in order to evaluate the performance of various turbulence models, including a Reynolds-stress model and variations of the k-ε model. The results of the two-dimensional simulations are compared with measurements from a diversity of independent street canyon experimental datasets, covering a wide range of aspect ratios, free stream velocities and roughnesses. This way more general and reliable conclusions can be reached about the applicability, accuracy and ease of use of each turbulence model. In this work, the renormalization group k-ε presented better results in most cases examined, while the Reynolds-stress model did not stand up for the expectations and also exhibited convergence problems.
机译:在这项研究中,使用了雷诺平均Navier-Stokes计算流体动力学方法,该方法被证明是模拟大气环境中的气流和污染物扩散的有力工具。兴趣集中在城市地区,更具体地说是在街道峡谷上,对街道峡谷进行了几种类型的研究,以评估各种湍流模型的性能,包括雷诺应力模型和k-ε模型的变体。将二维模拟的结果与来自各种独立街道峡谷实验数据集的测量结果进行比较,这些数据集涵盖了宽高比,自由流速度和粗糙度的广泛范围。这样,可以得出关于每个湍流模型的适用性,准确性和易用性的更一般和可靠的结论。在这项工作中,在大多数情况下,重归一化组k-ε表现出更好的结果,而雷诺应力模型不符合预期,也存在收敛问题。

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