高雷诺数湍流边界层流动的粒子成像研究及其对RANS模型的影响

T. Knopp, N. Reuther, M. Novara, E. Schülein, D. Schanz, A. Schröder, J. Kähler
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引用次数: 5

摘要

利用基于ranss的CFD预测亚音速紊流边界层(TBL)在逆压梯度(APG)作用下的压力诱导分离仍然存在很大的不确定性。最近,APG对TBL进行了新的研究,包括实验研究,例如欧盟项目EuHIT(见https://www.euhit.org/),以及数值研究,例如Gungor等人(2016)和Kitsios等人(2016)。在这项工作中,我们提出了Knopp & Reuther(2015)和Reuther(2015)中描述的新实验,其设计包括从前体实验中吸取的经验教训,参见Knopp等人(2015)。我们关注的是边界层内部的15%。然后,我们试图以长度尺度方程为重点,得出RANS湍流模型的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of a turbulent boundary layer flow at high Reynolds number using particle-imaging and implications for RANS modeling
The prediction of pressure induced separation of a turbulent boundary layer (TBL) subjected to an adverse pressure gradient (APG) in the subsonic regime using RANS-based CFD is still associated with significant uncertainties. Recently there was new work on TBL at APG both experimentally, e.g., within the EU project EuHIT (see https://www.euhit.org/), and numerically, e.g. in Gungor et al. (2016) and Kitsios et al. (2016). In this work we present a new experiment described in Knopp & Reuther (2015) and Reuther (2015) whose design includes lessons learned from a precursor experiment, see Knopp et al. (2015). We focus on the inner 15% of the boundary layer. Then we attempt to draw conclusions for RANS turbulence modeling with focus on the length scale equation.
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