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DNS based analytical P-function model for RANS with heat transfer at high Prandtl numbers

机译:基于DNS的RANS具有高Prandtl数传热的解析P函数模型

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The present work reviews the P-function approach, which is widely used for imposing thermal boundary condition inside the log-law region in RANS-type simulations. Direct Numerical Simulations (DNS) of heated pipe flows for varying molecular Prandtl number are carried out to validate and improve this concept. It is shown that the predictive shortcomings of the classical analytically based P-function model of Spalding (1967) can be substantially reduced by incorporating an advanced description for the turbulent viscosity and eddy diffusivity, using an appropriate near-wall model for the turbulent Prandtl number, together with analytically computed radial variations of the total fluxes of momentum and heat. With the help of the proposed modifications the analytically based P-function model is capable to predict accurately the wall profiles of the temperature not only inside the log-law region but also in the diffusive sub and buffer layers beneath. As such, the proposed approach provides very convenient and accurate thermal boundary conditions for use in Reynolds-averaged Navier-Stokes (RANS) equations at high Prandtl numbers, without any restrictions on the wall distance. This particular feature makes the present approach also superior to other popular purely empirically based P-function models. (C) 2017 Elsevier Inc. All rights reserved.
机译:本工作回顾了P函数方法,该方法广泛用于在RANS型模拟中的对数律区域内施加热边界条件。进行了不同分子普朗特数的加热管流动的直接数值模拟(DNS),以验证和改进这一概念。结果表明,采用适当的近壁湍流Prandtl数模型,通过结合对湍流粘度和涡流扩散率的高级描述,可以大大减少Spalding(1967)基于经典分析的P函数模型的预测缺陷。 ,以及通过分析计算得出的动量和热量总通量的径向变化。借助所提出的修改,基于分析的P函数模型不仅可以准确预测对数律区域内部的温度壁轮廓,而且还可以预测其下方的扩散子层和缓冲层的温度壁轮廓。这样,所提出的方法提供了非常方便和准确的热边界条件,可用于高Prandtl数的雷诺平均Navier-Stokes(RANS)方程中,而对壁距没有任何限制。该特定特征使得本方法也优于其他流行的纯粹基于经验的P函数模型。 (C)2017 Elsevier Inc.保留所有权利。

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