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DNS of Transition to Turbulence in a Hypersonic Boundary Layer

机译:高超声速边界层中向湍流过渡的DNS

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We perform direct numerical simulations (DNS) of transition to turbulence in a hypersonic boundary layer flow. The flow conditions correspond to a Mach 6, cold-wall flow with a wall temperature to adiabatic temperature ratio (T_w/T_(aw)) of around 0.16. The momentum thickness Reynolds number Reg goes up to around 6000 at the end of the computed turbulent zone. Comparisons are made to empirical skin-friction and heat transfer coefficients. We find that the Van Driest Ⅱ and Eckert correlations work best along with a Reynolds Analogy Factor of ≈ 1.2. Statistics from the mean and fluctuating turbulent flow fields are briefly discussed. The hope is that the DNS database generated will be useful for physics based improvements of RANS and LES models.
机译:我们在高超音速边界层流中执行到湍流过渡的直接数值模拟(DNS)。流动条件对应于马赫数为6的冷壁流,壁温与绝热温度之比(T_w / T_(aw))约为0.16。在计算出的湍流区的末端,动量厚度雷诺数Reg上升到大约6000。比较了经验的皮肤摩擦系数和热传递系数。我们发现Van DriestⅡ和Eckert相关性以及≈1.2的雷诺类比因子最有效。简要讨论了来自均值和波动湍流场的统计数据。希望生成的DNS数据库将对基于物理的RANS和LES模型改进有用。

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