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首页> 外文期刊>Journal of Fluid Mechanics >Optimal eddy viscosity for resolvent-based models of coherent structures in turbulent jets
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Optimal eddy viscosity for resolvent-based models of coherent structures in turbulent jets

机译:湍流喷射器中的谐波结构型号的最佳涡流粘度

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Response modes computed via linear resolvent analysis of a turbulent mean-flow field have been shown to qualitatively capture characteristics of the observed turbulent coherent structures in both wall-bounded and free shear flows. To make such resolvent models predictive, the nonlinear forcing term must be closed. Strategies to do so include imposing self-consistent sets of triadic interactions, proposing various source models or through turbulence modelling. For the latter, several investigators have proposed using the mean-field eddy viscosity acting linearly on the fluctuation field. In this study, a data-driven approach is taken to quantitatively improve linear resolvent models by deducing an optimal eddy-viscosity field that maximizes the projection of the dominant resolvent mode to the energy-optimal coherent structure educed using spectral proper orthogonal decomposition (SPOD) of data from high-fidelity simulations. We use large-eddy simulation databases for round isothermal jets at subsonic, transonic and supersonic conditions and show that the optimal eddy viscosity substantially improves the agreement between resolvent and SPOD modes, reaching over 90 % agreement at those frequencies where the jet exhibits a low-rank response. We then consider a fixed model for the eddy viscosity and show that with the calibration of a single constant, the results are generally close to the optimal one. In particular, the use of a standard Reynolds-averaged Navier-Stokes eddy-viscosity resolvent model, with a single coefficient, provides substantial agreement between SPOD and resolvent modes for three turbulent jets and across the most energetic wavenumbers and frequencies.
机译:通过湍流平均流场的线性预解分析计算的响应模式已被证明定性地捕捉了壁面有界和自由剪切流中所观察到的湍流相干结构的特征。为了使这种预解模型具有预测性,必须闭合非线性强迫项。这样做的策略包括施加三元相互作用的自洽集,提出各种源模型或通过湍流建模。对于后者,一些研究人员建议使用平均场涡动粘度线性作用于涨落场。在本研究中,采用数据驱动的方法,通过推导最优涡粘性场来定量改进线性预解模型,该场将主要预解模式投影到通过高保真模拟数据的谱本正交分解(SPOD)得出的能量最优相干结构。我们使用大型涡模拟数据库对亚音速、跨音速和超音速条件下的圆形等温射流进行了模拟,结果表明,最佳涡粘性极大地改善了预解模式和SPOD模式之间的一致性,在射流表现出低阶响应的频率下达到了90%以上的一致性。然后,我们考虑一个固定的涡流粘度模型,并表明,在一个常数的校准,结果通常接近最佳的。特别是,使用标准的雷诺平均Navier-Stokes涡动粘度预解模型(具有一个系数),可以在三个湍流射流的SPOD和预解模式之间以及在最具能量的波数和频率范围内提供实质性的一致性。

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