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Structure of a turbulent flow through plane channels with smooth and rough walls: An analysis based on high resolution DNS results

机译:通过具有光滑和粗糙壁的平面通道的湍流结构:基于高分辨率DNS结果的分析

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Two different DNS-approaches (direct numerical simulation of turbulent flow, i.e. without turbulence modeling) are used to determine the detailed structure of turbulent flow through channels with smooth and rough walls. They are a finite volume method (FVM) with grid refinement toward the walls and a Lattice Boltzmann method (LBM) with a uniform grid. With the LBM-approach high resolutions with up to 300 million grid points are possible. Compared to the FVM-approach with less grid points and grid refinement toward the wall much higher resolutions away from the walls occur in the LBM solutions. Due to these high resolutions hairpin vortices can be clearly identified for these flows. They are known to be important building blocks in boundary layers. In channel flows, however, their dense existence has only been detected by experimental studies, whereas numerically it still has not been clearly visualized, especially in rough wall channel flows. Our LBM results show that hairpin vortices and their organizations in large scale and very large scale motions (LSM, VLSM) prevail in both smooth wall and rough wall channel flows. The similarity of the vortical structures in the outer layers over smooth walls and over the present k-type rough walls supports Townsend's wall similarity hypothesis. (C) 2014 Elsevier Ltd. All rights reserved.
机译:两种不同的DNS方法(湍流的直接数值模拟,即没有湍流建模)用于确定通过具有光滑和粗糙壁的通道的湍流的详细结构。它们是对壁进行网格细化的有限体积方法(FVM),以及具有均匀网格的Lattice Boltzmann方法(LBM)。通过LBM方法,可以实现高达3亿格点的高分辨率。与FVM方法相比,在LBM解决方案中,网格点较少且朝向墙壁的网格细化程度更高,而远离墙壁的分辨率更高。由于具有这些高分辨率,因此可以清楚地识别出这些流动的发夹涡。众所周知,它们是边界层中的重要构建基块。然而,在河道流中,它们的密集存在只是通过实验研究发现的,而在数值上仍然没有清楚地看到,特别是在粗糙的壁道河道中。我们的LBM结果表明,发夹涡及其大规模和超大规模运动(LSM,VLSM)在光滑壁和粗糙壁通道中均占优势。光滑壁上和当前k型粗糙壁上外层涡结构的相似性支持了汤森德的壁相似性假设。 (C)2014 Elsevier Ltd.保留所有权利。

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