可压缩壁面湍流的数值研究——低超音速条件下热壁条件对湍流普朗特数的影响

IF 1.1 4区工程技术 Q4 MECHANICS

International Journal of Computational Fluid Dynamics Pub Date : 2022-10-21 DOI:10.1080/10618562.2023.2189247

D. J. Lusher, G. Coleman

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引用次数: 3

摘要

摘要采用直接数值模拟方法确定了一类低声速通道中冷(等温)壁面和热(绝热)壁面上的湍流普朗特数。考虑了一个平均温度/密度变化范围，对应于有效/边缘马赫数在1.1到2.2之间，基于壁面变量的雷诺数在73到3800之间。绝热条件是一个特别有趣的新特征。在等温壁面和绝热壁面以上，离壁面的差值均接近0.85。[Huang, P. G. Coleman, and P. Bradshaw. 1995]在1995年提出的被动标量模拟中，近壁面剖面的变化作为半局部壁面结垢的函数而崩溃。可压缩湍流通道流动:DNS结果和建模。流体力学学报(自然科学版);doi: 10.1017 / S0022112095004599。对…只有微弱的依赖。这导致了一个相当简单的传热模型的提议，附属于涡流粘度模型。

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Numerical Study of Compressible Wall-Bounded Turbulence – the Effect of Thermal Wall Conditions on the Turbulent Prandtl Number in the Low-Supersonic Regime

ABSTRACT Direct numerical simulation is used to determine the turbulent Prandtl number above cold (isothermal) and hot (adiabatic) walls in a family of low-supersonic channel flows. A range of mean temperature/density variations, corresponding to effective/edge Mach numbers between 1.1 to 2.2, and wall-variable-based Reynolds number from 73 to 3800, is considered. The adiabatic condition is a new feature of special interest. The value of away from the wall approaches 0.85 above both the isothermal and adiabatic walls. The variations of the near-wall profiles in both the present and previous, passive-scalar simulations collapse as a function of the semilocal wall scaling proposed in 1995 by [Huang, P. G., G. N. Coleman, and P. Bradshaw. 1995. “Compressible Turbulent Channel Flows: DNS Results and Modelling.” Journal of Fluid Mechanics 305: 185–218. doi:10.1017/S0022112095004599.], with only a weak dependence on . This leads to a rather simple proposal for a model of heat transfer, attached to an eddy-viscosity model.

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来源期刊

International Journal of Computational Fluid Dynamics 物理-力学

CiteScore

2.70

自引率

7.70%

发文量

审稿时长

3 months

期刊介绍： The International Journal of Computational Fluid Dynamics publishes innovative CFD research, both fundamental and applied, with applications in a wide variety of fields. The Journal emphasizes accurate predictive tools for 3D flow analysis and design, and those promoting a deeper understanding of the physics of 3D fluid motion. Relevant and innovative practical and industrial 3D applications, as well as those of an interdisciplinary nature, are encouraged.