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Predictions of canonical wall bounded turbulent flows via a modified $k-\omega$ equation

机译:通过改进的预测规范壁有界湍流   $ k- \ omega $ equation

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摘要

A major challenge in computation of engineering flows is to derive andimprove turbulence models built on turbulence physics. Here, we present aphysics-based modified $k-\omega$ equation for canonical wall bounded turbulentflows (boundary layer, channel and pipe), predicting both mean velocity profile(MVP) and streamwise mean kinetic energy profile (SMKP) with high accuracy overa wide range of Reynolds number ($Re$). The result builds on a multi-layerquantification of wall flows, which allows a significant modification of the$k-\omega$ equation. Three innovations are introduced: First, an adjustment ofthe Karman constant to 0.45 is set for the overlap region with a logarithmicMVP. Second, a wake parameter models the turbulent transport near thecenterline. Third, an anomalous dissipation factor represents the effect of ameso layer in the overlap region. Then, a highly accurate (above 99\%)prediction of MVPs is obtained in Princeton pipes, improving the original modelprediction by up to 10\%. Moreover, the entire SMKP, including the newlyobserved outer peak, is predicted. With a slight change of the wake parameter,the model also yields accurate predictions for channels and boundary layers.
机译:工程流计算中的主要挑战是推导和改进基于湍流物理学的湍流模型。在这里,我们提出了一个基于物理学的修正的kk \\ omega $方程,用于规范壁边界湍流(边界层,通道和管道),以较高的精度预测了平均速度剖面(MVP)和流向平均动能剖面(SMKP)雷诺数($ Re $)。结果建立在对壁流的多层量化的基础上,可以对k- \ omega $方程进行重大修改。引入了三个创新:首先,使用对数MVP将重叠区域的Karman常数设置为0.45。其次,尾流参数模拟了中心线附近的湍流传输。第三,异常耗散因子代表重叠区域中的ameso层的影响。然后,在普林斯顿管道中获得了对MVP的高度准确的预测(超过99%),从而将原始模型的预测提高了10%。而且,可以预测整个SMKP,包括新近观测到的外峰。在唤醒参数略有变化的情况下,该模型还可以对通道和边界层产生准确的预测。

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