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首页> 外文期刊>Boundary-Layer Meteorology >Dispersion in the Wake of a Rectangular Building: Validation of Two Reynolds-Averaged Navier–Stokes Modelling Approaches
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Dispersion in the Wake of a Rectangular Building: Validation of Two Reynolds-Averaged Navier–Stokes Modelling Approaches

机译:分散在矩形建筑物的苏醒中:两种雷诺平均Navier-Stokes建模方法的验证

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摘要

When modelling the turbulent dispersion of a passive tracer using Reynolds-averaged Navier–Stokes (RANS) simulations, two different approaches can be used. The first consists of solving a transport equation for a scalar, where the governing parameters are the mean velocity field and the turbulent diffusion coefficient, given by the ratio of the turbulent viscosity and the turbulent Schmidt number Sc t . The second approach uses a Lagrangian particle tracking algorithm, where the governing parameters are the mean velocity and the fluctuating velocity field, which is determined from the turbulence kinetic energy and the Lagrangian time T L . A comparison between the two approaches and wind-tunnel data for the dispersion in the wake of a rectangular building immersed in a neutral atmospheric boundary layer (ABL) is presented. Particular attention was paid to the influence of turbulence model parameters on the flow and concentration field. In addition, an approach to estimate Sc t and T L based on the calculated flow field is proposed. The results show that applying modified turbulence model constants to enable correct modelling of the ABL improves the prediction for the velocity and concentration fields when the modification is restricted to the region for which it was derived. The difference between simulated and measured concentrations is smaller than 25% or the uncertainty of the data on 76% of the points when solving the transport equation for a scalar with the proposed formulation for Sc t , and on 69% of the points when using the Lagrangian particle tracking with the proposed formulation for T L .
机译:当使用雷诺平均的Navier-Stokes(RANS)模拟对无源示踪剂的湍流扩散进行建模时,可以使用两种不同的方法。第一种方法是求解标量的输运方程,其中控制参数为平均速度场和湍流扩散系数,由湍流粘度和湍流施密特数Sc t 的比率给出。第二种方法使用拉格朗日粒子跟踪算法,其控制参数是平均速度和脉动速度场,该速度场是由湍动能和拉格朗日时间T L 确定的。提出了两种方法和风洞数据之间的比较,该数据用于浸没在中性大气边界层(ABL)中的矩形建筑物后的分散。特别注意湍流模型参数对流场和浓度场的影响。另外,提出了一种基于计算的流场来估计Sc t 和T L 的方法。结果表明,当修改仅限于对其进行修改的区域时,应用修改后的湍流模型常数以实现ABL的正确建模可以改善对速度场和浓度场的预测。当使用建议的Sc t 公式求解标量的输运方程时,模拟浓度和测量浓度之间的差异小于25%或76%点的数据不确定性,以及69将拉格朗日粒子跟踪与拟议的T L 公式配合使用时的点数的百分比。

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