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A performance comparison of the standard k-epsilon model and a differential Reynolds stress model for a backward-facing step

机译:标准kε模型和微分雷诺应力模型在朝后步骤中的性能比较

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A differential Reynolds stress model (RSM) based on Launder, Reece, and Rodi (LRR) is formulated with appropriate wall functions and applied to predict Be backward-facing step problem of Driver and Seegmiller. Numerical prediction obtained with the LRR, with and without "wall reflection" terms in the pressure strain model, are compared with the results of standard k-epsilon model of Launder and Spalding for the step problem. The results demonstrate that both LRR models, i.e., with and without wall reflection terms, are capable of capturing the secondary bubble near the step, as observed in the experiment, whereas the standard k-epsilon model fails to predict the secondary bubble. In addition, the mean velocity profiles obtained with the LRR models agree better with the experimental data than those by the k-epsilon model, particularly inside the recirculating flow region. It also emerges from the present study that, with proper wall functions, LRR model is capable of predicting recirculating flows at least as well as the original LRR model does without the "wall reflection" terms. [References: 15]
机译:建立了基于Launder,Reece和Rodi(LRR)的微分雷诺应力模型(RSM),该模型具有适当的墙函数,并用于预测Driver和Seegmiller的Be向后迈步问题。将使用LRR在压力应变模型中带有和不带有“壁反射”项的数值预测结果与Launder和Spalding的标准kε模型的阶跃问题进行了比较。结果表明,两个LRR模型,即具有和不具有壁反射项的LRR模型,都能够捕获台阶附近的次级气泡,如在实验中观察到的,而标准k-ε模型无法预测次级气泡。此外,通过LRR模型获得的平均速度曲线比通过k-ε模型获得的平均速度曲线与实验数据更好地吻合,特别是在循环流区域内。从本研究中还可以得出,具有适当的壁功能,LRR模型至少能够像没有“壁反射”项的原始LRR模型一样预测再循环流量。 [参考:15]

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