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Multi-scale properties of large eddy simulations: correlations between resolved-scale velocity-field increments and subgrid-scale quantities

机译:大型涡流模拟的多尺度属性:解决尺度速度 - 场增量与子级尺度数量之间的相关性

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摘要

We provide analytical and numerical results concerning multi-scale correlations between the resolved velocity field and the subgrid-scale (SGS) stress-tensor in large eddy simulations (LES). Following previous studies for Navier-Stokes equations, we derive the exact hierarchy of LES equations governing the spatio-temporal evolution of velocity structure functions of any order. The aim is to assess the influence of the subgrid model on the inertial range intermittency. We provide a series of predictions, within the multifractal theory, for the scaling of correlation involving the SGS stress and we compare them against numerical results from high-resolution Smagorinsky LES and from a-priori filtered data generated from direct numerical simulations (DNS). We find that LES data generally agree very well with filtered DNS results and with the multifractal prediction for all leading terms in the balance equations. Discrepancies are measured for some of the sub-leading terms involving cross-correlation between resolved velocity increments and the SGS tensor or the SGS energy transfer, suggesting that there must be room to improve the SGS modelisation to further extend the inertial range properties for any fixed LES resolution.
机译:我们提供关于在大涡模拟(LES)中所解析的速度场和子地图(SGS)应力张量之间的多尺度相关性的分析和数值结果。在以前对Navier-Stokes方程的研究之后,我们得出了控制任何顺序的速度结构函数的时空演变的LES方程的确切层次。目的是评估亚底模型对惯性范围间歇性的影响。我们提供了一系列预测,在多重术语中,用于涉及SGS应力的相关性,并且我们将它们与高分辨率Smagorinsky LES的数值结果进行比较,以及从直接数值模拟(DNS)产生的先验过滤数据。我们发现LES数据通常与过滤的DNS结果非常吻合,并且对余额方程中的所有领先术语的多重术语预测。对于涉及分辨速度增量和SGS张量或SGS能量转移之间的互相关或SGS能量转移的互相关的一些差差异,表明必须有改善SGS造型的空间,以进一步延长任何固定的惯性范围特性决议。

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