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Numerical study of turbulent heat and fluid flow in a straight square duct at higher Reynolds numbers

机译:雷诺数较高的直方管中湍流热和流体流动的数值研究

摘要

This paper presents the large eddy simulation (LES) results of turbulent heat and fluid flows in a straight square duct (SSD) at higher Reynolds numbers ranged from 104 to 106, which are based on the bulk mean velocity and the duct cross-sectional side length. A sub-grid model is proposed, which assumes that the sub-grid stress and heat flux are, respectively, proportional to the temporal increments of the filtered strain rate and temperature gradient, with the proportional coefficient determined by calibrating the friction factor. The temperature was taken as passive due to the neglect of buoyancy effect. The Taylor and Kolmogorov scales in the SSD are predicted and the results show that the LES results are better than c-DNS results. The LES results can explain why the c-DNS is applicable to the problem at a moderate Re, and reveal that the largest relative deviation of the overall mean Nusselt number is less than 10% as compared with existing experimental correlations. With the rise of Reynolds number, the mean secondary vortex pairs move towards the corners and have smaller size, while smaller vortices also occur in the instantaneous secondary flow. Empirical mode decomposition (EMD) was carried out to analyze the fluctuation of the x-averaged cross-sectional origin temperature at Re = 105.
机译:本文提出了较大的涡流模拟(LES)结果,其中湍流和流体在较高的雷诺数范围为104至106的直方管(SSD)中流动,这是基于体积平均速度和管道横截面的长度。提出了一个子网格模型,该模型假定子网格应力和热通量分别与滤波后的应变率和温度梯度的时间增量成比例,并且比例系数通过校准摩擦系数来确定。由于忽略了浮力作用,所以温度被认为是被动的。对SSD中的Taylor和Kolmogorov标度进行了预测,结果表明LES结果优于c-DNS结果。 LES结果可以解释为什么c-DNS适用于中等Re的问题,并且揭示了与现有实验相关性相比,总平均Nusselt数的最大相对偏差小于10%。随着雷诺数的增加,平均次级涡流对向角落移动并具有较小的尺寸,而较小的涡流也出现在瞬时次级流中。进行了经验模式分解(EMD),以分析Re = 105时x平均截面原始温度的波动。

著录项

  • 作者

    Zhu Z; Yang H; Chen T;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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