论文标题

湍流流动的大型涡流模拟在中等到高的雷诺数

Large Eddy Simulations of Turbulent Pipe Flows At Moderate-To-High Reynolds Numbers

论文作者

Garg, Himani, Wang, Lei, Andersson, Martin, Fureby, Christer

论文摘要

壁挂式的湍流与许多工程和自然科学应用有关,但其基本物理的某些方面尚未完全理解,尤其是在较高的雷诺数字上。在这项研究中,我们以中等到高的摩擦速度雷诺数数字($ 361 \ leqre_τ\ leq 2,000 $)调查完全发达的湍流流动,对应于基于散装速度的雷诺数的数量为$ 11,700 \ leq req re_ {b} {b} \ leq 82,52,52,500 $ sim ins in lasty l-sim ins ins in lasty l-sim ins in lasty losed( OpenFoam。对$re_τ= 361 $进行了网格收敛研究,然后研究了相同雷诺数的各种亚网格尺度应力模型的准确性。结果表明,与实验和直接数值模拟(DNS)相比,适应壁的局部涡流(WALE)模型表现良好,而一个方程式涡流模型(OEEVM)和Smagorinsky(SMG)(SMG)太耗散了。然后,使用逐渐精制的网格对四个不同的雷诺数进行了利用Wale的LES,这与外部区域的DNS数据非常吻合。然而,在亚卷层区域中观察到与DNS数据的显着偏差,表明需要在壁正常方向上进行进一步的网格细化,以准确捕获最小的运动动作的行为。其他网格灵敏度分析发现,随着$re_τ$值的上升,对于网格而言,遵守$ΔX^{+} \ leq 20-25 $和$Δz^{+} {+} \ leq 10 $的条件至关重要,以精确地捕获实质性的大型和小规模的波动。总体而言,WALE模型可以以高雷诺数数量的数值模拟,以壁挂的高度和空间分辨率的计算成本的一小部分,以内部层所需的计算成本。

Wall-bounded turbulence is relevant for many engineering and natural science applications, yet there are still aspects of its underlying physics that are not fully understood, particularly at high Reynolds numbers. In this study, we investigate fully-developed turbulent pipe flows at moderate-to-high friction velocity Reynolds numbers ($361 \leq Re_τ \leq 2,000$), corresponding to bulk velocity-based Reynolds numbers of $11,700 \leq Re_{b} \leq 82,500$, using wall-modeled Large Eddy Simulations (LES) in OpenFOAM. A grid convergence study is performed for $Re_τ = 361$, followed by an investigation of the accuracy of various subgrid-scale stress models for the same Reynolds number. Results show that the Wall-Adapting Local Eddy (WALE) model performs well compared to experiments and Direct Numerical Simulations (DNS), while One-Equation Eddy-Viscosity Model (OEEVM) and Smagorinsky (SMG) are too dissipative. LES utilizing WALE are then performed for four different Reynolds numbers with gradually refined grids, revealing excellent agreement with DNS data in the outer region. However, a significant deviation from DNS data is observed in the sub-viscous layer region, indicating the need for further mesh refinement in the wall-normal direction to accurately capture the smallest-scale motions' behavior. Additional mesh sensitivity analysis uncovered that, as the $Re_τ$ value rises, it becomes crucial for a grid to adhere to the condition of $Δx^{+} \leq 20 - 25$ and $Δz^{+} \leq 10$ in order to precisely capture substantial large and small scale fluctuations. Overall, the WALE model enables accurate numerical simulations of high-Reynolds-number, wall-bounded flows at a fraction of the computational cost required for temporal and spatial resolution of the inner layer.

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