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首页> 外文期刊>Journal of the Brazilian Society of Mechanical Sciences and Engineering >Simulation of two-dimensional high reynolds number wake flows with the use of filtered lagrangian navier-stokes equations
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Simulation of two-dimensional high reynolds number wake flows with the use of filtered lagrangian navier-stokes equations

机译:使用滤波的拉格朗日纳维斯托克斯方程模拟二维高雷诺数尾流

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This work presents a method for numerical simulation of viscous fluid flows based on the use of filtered Lagrangian Navier-Stokes equations. It is based on the hypothesis that the small scale motions are responsible for the homogenization of the physical properties in infinitesimal fluid parcels through a mixing process, mathematically expressed as a spatial filter, which implicitly works as an averaging operator. When the filter was applied to the Navier-Stokes equations for incompressible flows, in the Lagrangian frame of reference, the functional form of the resulting equations was preserved, and the number of unknowns remained the same as the number of available equations, therefore circumventing the need of an explicit subgrid scale model. The method was validated by performing two-dimensional simulations of high Reynolds number wake flows. It was verified that the main large scale characteristics of the flows were properly replicated.
机译:这项工作提出了一种基于过滤拉格朗日Navier-Stokes方程的粘性流体流动数值模拟的方法。它基于这样的假设,即小规模运动是通过混合过程(通过数学表示为空间滤波器,其隐式用作平均算子)使无限小流体包裹中的物理特性均匀化的原因。当将滤波器应用于不可压缩流的Navier-Stokes方程时,在拉格朗日参照系中,所得方程的函数形式得以保留,未知数与可用方程数相同,因此避免了需要明确的子网格规模模型。通过对高雷诺数尾流进行二维模拟,验证了该方法的有效性。经验证,流量的主要大规模特征已得到适当复制。

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