大/小涡流模拟:研究高雷诺数湍流的高保真方法

Arnab Moitro, Sai Sandeep Dammati, Alexei Y. Poludnenko
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引用次数: 0

摘要

直接数值模拟(DNS)是研究湍流的主要原初工具之一。然而,由于计算成本高昂,直接数值模拟主要局限于中等雷诺数的典型流动,在这种流动中,湍流与现实的大尺度流动动力学相隔离。相反,低保真度技术,如大涡模拟(LES),则被用于模拟现实系统。这些方法依赖于闭合模型,而闭合模型需要多种假设,包括湍流平衡、小尺度普遍性等,这些假设需要事先了解流动情况,并且可能会被违反。我们提出了一种方法,将整个系统的低保真、未解析、随时间变化的计算(LES)与嵌入式小型埃迪模拟(SES)相结合,后者在 LES 的相关子区域提供高保真、全解析的解决方案。这种耦合是通过用低通滤波 LES 速度场连续替换大 SES 尺度来实现的。该方法是在物理空间中制定的,不假定平衡、小尺度结构和边界条件。对稳定和非稳定的均质各向同性湍流进行了先验测试,以证明该方法在恢复湍流特性(包括频谱、间歇量的概率密度函数和子网格耗散)方面的准确性。最后,将 SES 与两种替代方法进行了比较:一种是通过静态网格细化嵌入高分辨率区域的方法,另一种是对传统容积谱强迫进行概括的方法。与这些方法不同的是,SES 只需全 DNS 的一小部分成本就能达到 DNS 水平的精度,从而为研究高 Re 流体提供了可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large/small eddy simulations: A high-fidelity method for studying high-Reynolds number turbulent flows
Direct numerical simulations (DNS) are one of the main ab initio tools to study turbulent flows. However, due to their considerable computational cost, DNS are primarily restricted to canonical flows at moderate Reynolds numbers, in which turbulence is isolated from the realistic, large-scale flow dynamics. In contrast, lower fidelity techniques, such as large eddy simulations (LES), are employed for modelling real-life systems. Such approaches rely on closure models that make multiple assumptions, including turbulent equilibrium, small-scale universality, etc., which require prior knowledge of the flow and can be violated. We propose a method, which couples a lower-fidelity, unresolved, time-dependent calculation of an entire system (LES) with an embedded Small-Eddy Simulation (SES) that provides a high-fidelity, fully resolved solution in a sub-region of interest of the LES. Such coupling is achieved by continuous replacement of the large SES scales with a low-pass filtered LES velocity field. The method is formulated in physical space, makes no assumptions of equilibrium, small-scale structure, and boundary conditions. A priori tests of both steady and unsteady homogeneous, isotropic turbulence are used to demonstrate the method accuracy in recovering turbulence properties, including spectra, probability density functions of the intermittent quantities, and sub-grid dissipation. Finally, SES is compared with two alternative approaches: one embedding a high-resolution region through static mesh refinement and a generalization of the traditional volumetric spectral forcing. Unlike these methods, SES is shown to achieve DNS-level accuracy at a fraction of the cost of the full DNS, thus opening the possibility to study high-Re flows.
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