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Reynolds-Averaged Navier-Stokes Computations of the NASA Juncture Flow Model Using FUN3D and OVERFLOW

机译:使用FUN3D和OVERFLOW的NASA接缝流模型的雷诺平均Navier-Stokes计算

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Two Reynolds-averaged Navier-Stokes codes, FUN3D and OVERFLOW, are used to assess the capability of Spalart-Allmaras-based turbulence models to predict the flow over the NASA Juncture Flow model. Both free-air and in-tunnel simulations are performed. While the tunnel walls have some influence, it is found to be relatively minor in the juncture region of interest. Results from the two codes are found to be consistent with each other in attached flow regions, but results in the area of separation still show grid and code sensitivity, even on grids as large as 400 million unknowns. Nonetheless, it is possible to draw conclusions regarding the model capabilities. Without a quadratic constitutive relation, the linear model predicts a separation size that is too large. The inclusion of a nonlinear quadratic constitutive relation improves results significantly, but separation still occurs too far upstream. Predictions of turbulent normal stress differences play a key role in this flow. Although the nonlinear model makes better predictions in this regard, they could still be improved, particularly in the streamwise normal component near the wall.
机译:两个雷诺平均的Navier-Stokes代码FUN3D和OVERFLOW用于评估基于Spalart-Allmaras的湍流模型预测NASA接合流模型上的流动的能力。进行空中和隧道内仿真。尽管隧道墙有一定影响,但在感兴趣的接合处发现隧道墙相对较小。发现两个代码的结果在连接的流动区域中彼此一致,但是即使在多达4亿个未知数的网格上,分离区域中的结果仍然显示出网格和代码敏感性。但是,可以得出有关模型功能的结论。如果没有二次本构关系,则线性模型预测的分离尺寸太大。包含非线性二次本构关系可以显着改善结果,但是分离仍然会在上游发生太远。湍流法向应力差异的预测在这种流动中起关键作用。尽管非线性模型在这方面做出了更好的预测,但仍可以改进它们,特别是在壁附近的流态法向分量中。

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