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Mixing model with multi-particle interactions for Lagrangian simulations of turbulent mixing

机译:具有多粒子相互作用的混合模型,用于拉格朗日湍流混合模拟

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摘要

We report on the numerical study of the mixing volume model (MVM) for molecular diffusion in Lagrangian simulations of turbulent mixing problems. The MVM is based on the multi-particle interaction in a finite volume (mixing volume). A priori test of the MVM, based on the direct numerical simulations of planar jets, is conducted in the turbulent region and the interfacial layer between the turbulent and non-turbulent fluids. The results show that the MVM predicts well the mean effects of the molecular diffusion under various numerical and flow parameters. The number of the mixing particles should be large for predicting a value of the molecular diffusion term positively correlated to the exact value. The size of the mixing volume relative to the Kolmogorov scale. is important in the performance of the MVM. The scalar transfer across the turbulenton-turbulent interface is well captured by the MVM especially with the small mixing volume. Furthermore, the MVM with multiple mixing particles is tested in the hybrid implicit large-eddy-simulation/Lagrangian-particle-simulation (LES-LPS) of the planar jet with the characteristic length of the mixing volume of O(100 eta). Despite the large mixing volume, the MVM works well and decays the scalar variance in a rate close to the reference LES. The statistics in the LPS are very robust to the number of the particles used in the simulations and the computational grid size of the LES. Both in the turbulent core region and the intermittent region, the LPS predicts a scalar field well correlated to the LES. Published by AIP Publishing.
机译:我们报告了湍流混合问题的拉格朗日模拟中用于分子扩散的混合体积模型(MVM)的数值研究。 MVM基于有限体积(混合体积)中的多粒子交互作用。基于平面射流的直接数值模拟,在湍流区域和湍流和非湍流流体之间的界面层中进行了MVM的先验测试。结果表明,MVM可以很好地预测在各种数值和流动参数下分子扩散的平均效应。混合颗粒的数量应该很大,以便预测与精确值正相关的分子扩散项的值。相对于Kolmogorov标度的混合体积大小。对MVM的性能很重要。 MVM很好地捕获了湍流/非湍流界面上的标量传递,尤其是在混合量较小的情况下。此外,在平面射流的混合隐含大涡模拟/拉格朗日粒子模拟(LES-LPS)中,以混合体积的特征长度为O(100 eta)来测试具有多个混合粒子的MVM。尽管混合量很大,但MVM仍能很好地工作并以接近参考LES的速率衰减标量方差。 LPS中的统计信息对于模拟中使用的粒子数量和LES的计算网格大小非常可靠。 LPS预测在湍流核心区域和间歇区域中都与LES很好相关的标量场。由AIP Publishing发布。

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