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Generation of turbulent inflow and initial conditions based on multi-correlated random fields

机译:基于多相关随机场的湍流流入和初始条件的产生

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摘要

Direct or large eddy simulation of a turbulent flow field is strongly influenced by its initial or inflow boundary condition. This paper presents a new stochastic approach to generate an artificial turbulent velocity field for initial or inflow boundary condition based on digital filtering. Each velocity component of the artificial turbulent velocity field is generated by linear combination of individual uncorrelated random fields. These uncorrelated random fields are obtained by filtering random white-noise fields. Using common elements in these linear combinations results in multi-correlation among different velocity components. The generated velocity field reproduces locally desired Reynolds stress components and integral length scales including cross-integral length scales. The method appears to be simple, flexible and more accurate in comparison with previously developed methods. The accuracy and performance of the method are demonstrated by numerical simulation of a homogeneous turbulent shear flow with high and low shear rates. To assess the accuracy and performance of the method, simulation results are compared with a reference simulation.
机译:湍流场的直接或大涡模拟受其初始或流入边界条件的强烈影响。本文提出了一种新的随机方法,该方法基于数​​字滤波为初始或流入边界条件生成人工湍流速度场。人工湍流速度场的每个速度分量是通过各个不相关的随机场的线性组合生成的。这些不相关的随机场是通过对随机白噪声场进行滤波而获得的。在这些线性组合中使用公共元素会导致不同速度分量之间的多重相关。生成的速度场可再现局部所需的雷诺应力分量和包括交叉积分长度标尺的积分长度标尺。与以前开发的方法相比,该方法看起来简单,灵活且更准确。通过数值模拟高剪切速率和低剪切速率的均匀湍流剪切流,证明了该方法的准确性和性能。为了评估该方法的准确性和性能,将仿真结果与参考仿真进行了比较。

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