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首页> 外文期刊>Journal of Fluids Engineering: Transactions of the ASME >Large Eddy Simulation of the Mixing of a Passive Scalar in a High-Schmidt Turbulent Jet
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Large Eddy Simulation of the Mixing of a Passive Scalar in a High-Schmidt Turbulent Jet

机译:高斯密特湍流射流中被动标量混合的大涡模拟

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Accurate subgrid-scale (SGS) scalar flux models are essential when large eddy simulation (LES) is used to represent flow, mixing and transport of passive and active scalars in engineering, and environmental applications in turbulent regime. Many SGS scalar flux models have been developed for flows with low Schmidt numbers (Sc), but their application to high Sc flows has important limitations. In high Sc flows, the behavior of the scalar field becomes anisotropic because of intermittency effects, phenomenon that must be accounted for by SGS scalar flux models. The objective of this paper is to evaluate the ability of three SGS scalar flux models to predict the scalar behavior of a high Sc-number flow configuration, namely the anisotropy-resolved SGS scalar flux model: (1) appropriate for high Sc-number flow configurations, and two additional SGS models (linear eddy diffusivity based SGS models) with (2) constant, and (3) dynamically calculated turbulent Schmidt number. The LES simulation results accomplished by these models are compared to each other and to experimental data of a turbulent round jet discharging a diluted scalar into a low-velocity coflowing water stream. The comparison of simulation results and experimental observations shows that, in general, all SGS models reproduce the mean filtered concentration distribution in radial direction. The dynamic eddy diffusivity and anisotropy models reproduce the rms of the concentration and SGS scalar fluxes distribution. In particular, the anisotropy model improves the prediction reliability of LES. However, the three models evaluated in this study cannot accurately predict the scalar behavior at the superviscous layer. Finally, this work demonstrates that complex models can achieve reliable predictions on reasonable grids using less computational effort, while simple models require fine grids with increased computational costs.
机译:当使用大涡模拟(LES)来表示工程中的被动标量和主动标量的流量,混合和运输以及湍流环境中的应用时,准确的亚网格规模(SGS)标量通量模型至关重要。已经为低Schmidt数(Sc)的流量开发了许多SGS标量通量模型,但是将其应用于高Sc流量具有重要的局限性。在高Sc流量中,由于间歇性效应,标量场的行为变得各向异性,这种现象必须由SGS标量通量模型解决。本文的目的是评估三种SGS标量通量模型预测高Sc数流量配置的标量行为的能力,即各向异性解析SGS标量通量模型:(1)适用于高Sc数流量配置,以及两个附加的SGS模型(基于线性涡流扩散率的SGS模型),其中(2)常数,以及(3)动态计算的湍流Schmidt数。这些模型完成的LES模拟结果相互比较,并与湍流的圆形射流的实验数据进行比较,该湍流的圆形射流将稀释的标量排放到低速同流水流中。仿真结果和实验观察结果的比较表明,一般而言,所有SGS模型都重现了径向方向的平均过滤浓度分布。动态涡流扩散率和各向异性模型再现了浓度的均方根值和SGS标量通量分布。特别地,各向异性模型提高了LES的预测可靠性。然而,在这项研究中评估的三个模型不能准确地预测在超粘层的标量行为。最后,这项工作表明,复杂的模型可以使用较少的计算量就合理的网格实现可靠的预测,而简单的模型需要具有增加的计算成本的精细网格。

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