使用本征正交分解法进行管道流动中的结构识别
Structure identification in pipe flow using proper orthogonal decomposition.
作者信息
Hellström Leo H O, Smits Alexander J
机构信息
Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544, USA
Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544, USA.
出版信息
Philos Trans A Math Phys Eng Sci. 2017 Mar 13;375(2089). doi: 10.1098/rsta.2016.0086.
The energetic motions in direct numerical simulations of turbulent pipe flow at Re=685 are investigated using proper orthogonal decomposition. The procedure is extended such that a pressure component is identified in addition to the three-component velocity field for each mode. The pressure component of the modes is shown to align with the streamwise velocity component associated with the large-scale motions, where positive pressure coincides with positive streamwise velocity, and vice versa. The streamwise evolution of structures is then visualized using a conditional mode, which exhibit a strong similarity to the large-scale, low-momentum motions. A low-pressure region is present in the downstream section of the structure, and a high-pressure region is present in the upstream section.This article is part of the themed issue 'Toward the development of high-fidelity models of wall turbulence at large Reynolds number'.
采用本征正交分解法研究了雷诺数为685时湍流管道流动直接数值模拟中的能量运动。该过程得到了扩展，以便除了为每个模态确定三分量速度场之外，还能识别压力分量。结果表明，模态的压力分量与与大尺度运动相关的流向速度分量对齐，其中正压力与正流向速度重合，反之亦然。然后使用条件模态对结构的流向演化进行可视化，该条件模态与大尺度、低动量运动具有很强的相似性。在结构的下游部分存在一个低压区域，在上游部分存在一个高压区域。本文是主题为“迈向大雷诺数下壁面湍流高保真模型的发展”的特刊的一部分。
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