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Effect of von Karman length scale in scale adaptive simulation approach on the prediction of supersonic turbulent flow

机译:冯卡曼长度尺度在尺度自适应模拟方法中对超音速湍流预测的影响

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摘要

Numerical investigations of the supersonic axisymmetric base flow at Mach number 2.46 and Reynolds number 2.858 x 10(6) are carried out using the scale-adaptive simulation (SAS) approach. To achieve SAS computation, three mathematical forms of von Karman length scale are utilized. The first one is calculated from the strain rate tensor and second derivative of the velocity field (this SAS can be marked as "SAS-1"). Computation of the second one is employed using the vorticity and its first derivative (this SAS can be denoted as "SAS-2"). The third one is computed from the vorticity and the second derivative of the velocity field (this SAS can be named as "SAS-3"). Their effects on the quantitative predictions are assessed. Two inflow conditions are also investigated, i.e., inflow condition with/without turbulent-boundary-layer profiles. Results show that the inflow conditions have the significant effects on the base-pressure and streamwise velocity distributions, and the predicted results at the inflow condition with profiles show better agreement with experimental data than that at the inflow condition without profiles. The inflow conditions and von Karman length scales only have the relatively slight effects on the radial velocity distributions. Similarly, at the inflow condition with profiles, the base-pressure distributions are also not sensitive to mathematical forms of von Karman length scale. More comparisons reveal that the best predictions can be obtained by SAS-2 and SAS-3. It may be associated with the vortex stretching effects explicitly considered in the von Karman length scales of SAS-2 and SAS-3. Although the mean flow field predicted by SAS-2 is slightly better than that obtained by SAS-3. However, SAS-3 can give the slightly better predictions for the Reynolds stresses than SAS-2. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译:马赫数为2.46和雷诺数为2.858 x 10(6)的超声速轴对称基流的数值研究是使用尺度自适应模拟(SAS)方法进行的。为了实现SAS计算,利用了von Karman长度尺度的三种数学形式。根据应变率张量和速度场的二阶导数计算第一个(此SAS可以标记为“ SAS-1”)。使用涡度及其一阶导数来计算第二个(此SAS可以表示为“ SAS-2”)。第三个是根据速度场的涡度和二阶导数计算的(此SAS可以命名为“ SAS-3”)。评估它们对定量预测的影响。还研究了两种流入条件,即具有/不具有湍流边界层剖面的流入条件。结果表明,入流条件对基本压力和水流速度分布有显着影响,具有剖面的入流条件下的预测结果与没有剖面的入流条件下的实验数据具有更好的一致性。流入条件和von Karman长度尺度仅对径向速度分布具有相对较小的影响。类似地,在具有剖面的流入条件下,基本压力分布也对冯·卡曼长度尺度的数学形式不敏感。更多的比较表明,SAS-2和SAS-3可以获得最佳预测。它可能与在SAS-2和SAS-3的von Karman长度尺度中明确考虑的涡旋拉伸效应有关。尽管SAS-2预测的平均流场略好于SAS-3获得的平均流场。但是,SAS-3对雷诺应力的预测比SAS-2略好。 (C)2019 Elsevier Masson SAS。版权所有。

著录项

  • 来源
    《Aerospace science and technology》 |2019年第3期|630-639|共10页
  • 作者单位

    Nanjing Univ Aeronaut & Astronaut, Key Lab Aircraft Environm Control & Life Support, MIIT, Nanjing 210016, Jiangsu, Peoples R China;

    Nanjing Univ Aeronaut & Astronaut, Key Lab Aircraft Environm Control & Life Support, MIIT, Nanjing 210016, Jiangsu, Peoples R China;

    AVIC Aerosp Life Support Ind LTD, Xiangyang 441003, Peoples R China;

    Nanjing Univ Aeronaut & Astronaut, Key Lab Aircraft Environm Control & Life Support, MIIT, Nanjing 210016, Jiangsu, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Supersonic flow; Scale-adaptive simulation; Base flow; von Karman length scale;

    机译:超音速流;尺度自适应模拟;基流;冯·卡曼长度尺度;

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