期刊
PHYSICAL REVIEW FLUIDS
卷 6, 期 5, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevFluids.6.054607
关键词
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资金
- Boeing Company [SPO 134136]
- National Science Foundation [1553275]
- Kwanjeong Educational Foundation Fellowship
- Directorate For Engineering
- Div Of Chem, Bioeng, Env, & Transp Sys [1553275] Funding Source: National Science Foundation
The study presents a numerical procedure known as the macroscopic forcing method (MFM) to reveal differential operators acting on mean fields transported by underlying fluctuating flows, specifically the eddy diffusivity operator. The method is shown to accurately capture nonlocal mixing effects and has a cost-effective generalization for analysis of nonhomogeneous and wall-bounded flows.
This study presents a numerical procedure, which we call the macroscopic forcing method (MFM), which reveals the differential operators acting on the mean fields of quantities transported by underlying fluctuating flows. Specifically, MFM can precisely determine the eddy diffusivity operator, or more broadly said, it can reveal differential operators associated with turbulence closure for scalar and momentum transport. We present this methodology by considering canonical problems with increasing complexity. Starting from the well-known problem of dispersion of passive scalars by parallel flows we elucidate the basic steps in quantitative determination of the eddy viscosity operators using MFM. Utilizing the operator representation in Fourier space, we obtain a stand-alone compact analytical operator that can accurately capture the nonlocal mixing effects. Furthermore, a cost-effective generalization of MFM for analysis of nonhomogeneous and wall-bounded flows is developed and is comprehensively discussed through a demonstrative example. Extension of MFM for analysis of momentum transport is theoretically constructed through the introduction of a generalized momentum transport equation. We show that closure operators obtained through MFM analysis of this equation provide the exact RANS solutions obtained through averaging of the Navier-Stokes equation. We introduce MFM as an effective tool for quantitative understanding of non-Boussinesq effects and assessment of model forms in turbulence closures, particularly, the effects associated with anisotropy and nonlocality of macroscopic mixing.
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