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TURBULENCE MODELLING OF STATISTICALLY PERIODIC FLOWS: THE CASE OF THE SYNTHETIC JET

机译:统计周期流动的湍流模拟:以合成射流为例

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Computations of a synthetic jet are performed with usual RANS-equations solved in a time-accurate mode (URANS), with the standard k-ε model and the Rotta+IP second moment closure. The purpose of the present work is to investigate the ability of these standard turbulence models to close the phase-averaged Navier-Stokes equations. Results are compared with recent experiments by Yao et al. provided to the CFD Validation of Synthetic Jets and Turbulent Separation Control workshop held in 2004. Comparisons of the performance of the models with experimental data show that the models are globally able to reproduce the dynamics of the flow. However, several characteristics are not well predicted, e.g., convection velocities and spreading rates. Moreover, results suggest that second moment closure is the minimum modelling level suitable for pulsed flows: regions of negative production play a significant role, and their prediction requires to solve transport equation for the Reynolds stresses.
机译:合成射流的计算使用在标准时间k-ε模型和Rotta + IP二阶矩闭合下以时间精确模式(URANS)求解的常规RANS方程进行。本工作的目的是研究这些标准湍流模型关闭相位平均Navier-Stokes方程的能力。将结果与Yao等人的最新实验进行了比较。提供给2004年举行的CFD合成射流验证和湍流分离控制研讨会。模型的性能与实验数据的比较表明,这些模型在全球范围内都能够重现流动的动力学。但是,对流速度和扩散速度等几个特征还没有得到很好的预测。此外,结果表明,第二矩闭合是适用于脉冲流的最小建模水平:负产区起着重要作用,其预测需要解决雷诺应力的输运方程。

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