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Three Dimensionality in Reynolds-Averaged Navier-Stokes Solutions Around Two-Dimensional Geometries

机译:雷诺平均Navier-Stokes解中的二维三维空间

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The flow over two-dimensional geometries is studied via unsteady numerical simulations that are three dimensional, with periodic conditions applied along the spanwise coordinate. This framework is well accepted for direct numerical simulations (DNS), large-eddy simulations, and detached-eddy simulations (DES), but is here combined with standard Reynolds-averaged Navier-Stokes (RANS) turbulence models. This strategy, which is not new, is referred to as unsteady RANS (URANS). Limited previous evidence suggested that, in URANS, three dimensionality is suppressed by high eddy-viscosity levels. However, three dimensionality proves fairly easy to sustain with adequate initial conditions, in all three cases studied here: stalled airfoil, circular cylinder, and a rounded square, except that for one case three dimensionality failed to last from random-based initial perturbations and was sustained only when using a DES field as initial condition. It is much less fine grained and chaotic than in the classical turbulence-resolving methods (from DNS to DES). Three-dimensional URANS gives clear improvements over two-dimensional URANS. It is less costly than DES, but is not as accurate. URANS also displays a troublesome sensitivity to the spanwise period and to the turbulence model. The approach is interesting and will appear spontaneously in many applications, but remains only partly understood.
机译:通过三维非定常数值模拟研究二维几何形状上的流动,并沿展向方向坐标施加周期性条件。该框架已被直接数值模拟(DNS),大涡模拟和分离涡模拟(DES)广泛接受,但此处与标准雷诺平均Navier-Stokes(RANS)湍流模型相结合。这种策略不是新的,称为非稳定RANS(URANS)。有限的先前证据表明,在URANS中,高涡粘性水平会抑制三维。但是,在这里研究的所有三种情况下,三个维度都证明很容易维持适当的初始条件:失速的机翼,圆柱体和圆角正方形,但在一个案例中,三个维度未能从基于随机的初始扰动中持续下来并且仅当使用DES字段作为初始条件时才持续。与经典的湍流解析方法(从DNS到DES)相比,它的粒度和混乱程度要低得多。三维URANS比二维URANS有了明显的改进。它比DES便宜,但不那么精确。 URANS对翼展方向周期和湍流模型也显示出麻烦的敏感性。该方法很有趣,在许多应用程序中会自发出现,但仅部分被理解。

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