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A Band-Width Filtered Forcing Based Generation of Turbulent Inflow Data for Direct Numerical or Large Eddy Simulations and its Application to Primary Breakup of Liquid Jets

机译:带宽过滤的强制基于生成的湍流流入数据,用于直接数值或大型涡流模拟及其在液体喷射初级分解的应用

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摘要

Direct Numerical Simulation (DNS) and Large Eddy Simulation (LES) of spatially inhomogeneous flows strongly depend on turbulent inflow boundary conditions. Realistic coherent structures need to be prescribed to avoid the immediate damping of random velocity fluctuations. A new turbulent inflow data generation method based on an auxiliary simulation of forced turbulence in a box is presented. The new methodology combines the flexibility of the synthetic turbulence generation with the accuracy of precursor simulation methods. In contrast to most auxiliary simulations, the new approach provides full control over the turbulence properties and computational costs remain reasonable. The lack of physical information and artificiality attested with pseudo-turbulence methods is overcome since the inflow data stems from a solution of the Navier-Stokes equations. The generated velocity fluctuations are by construction divergence-free and exhibit the non-Gaussian characteristics of turbulence. The generated inflow data is applied to the simulation of multiphase primary breakup.
机译:空间不均匀流动的直接数值模拟(DNS)和大型涡流模拟(LES)强烈依赖于湍流流入边界条件。需要规定现实的相干结构,以避免立即阻尼随机速度波动。提出了一种基于盒子中强制湍流辅助模拟的新的湍流流入数据生成方法。新方法结合了合成湍流产生的灵活性,以前体仿真方法的准确性。与大多数辅助模拟相比,新方法可满足湍流性能,计算成本仍然合理。由于流入数据从Navier-Stokes方程的解决方案源,因此克服了缺乏物理信息和具有伪湍流方法的人工性。产生的速度波动是通过施工分歧,并且呈现出湍流的非高斯特征。产生的流入数据应用于多相初级分析的模拟。

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