论文标题

Beafty Wakes中流动涡流对的曲折动力学

Meandering dynamics of streamwise vortex pairs in afterbody wakes

论文作者

Ranjan, Rajesh, Robinet, J. -Ch., Gaitonde, Datta

论文摘要

升起的源头的唤醒通常以反向旋转的流涡流对为特征。这些涡旋的不稳定动力学通过在代表性配置上的空间分辨大型仿真数据集进行了检查,该数据集由具有上层基础表面的圆柱体组成。重点放在理解这对涡流的蜿蜒运动中,包括涡流核心位移,光谱含量,稳定性机制和整体排名行为。通过时间分辨涡流场的正确正交分解(POD)获得的前两个能量级模式揭示了一对涡旋偶极子相对彼此相对持续相对垂直。该动力学成功映射到匹配的batchelor涡旋对,其空间和时间稳定性分析表明与| M | = 1椭圆模式对相关的相似偶极结构。这种短波椭圆的不稳定性主导着弯曲的运动,由于轴向速度引起的应变在崩溃中起着关键作用。不稳定模式的低频(基于圆柱体直径的Strouhal数量STD = 0.3)与LES中曲折的光谱分析一致。对唤醒的行为进行了检查;重现流量至给定准确度所需的模式数量会在基地附近附近迅速减少。除了下游两个直径之外,只需要两个领先的POD模式来重建LES数据中的主要曲折运动和空间结构,而性能损失<15%,而十种模式几乎完全恢复了流场。这种低级别的行为可能在构建用于控制目的的降级模型方面有望。

Wakes of upswept afterbodies are often characterized by a counter-rotating streamwise vortex pair. The unsteady dynamics of these vortices are examined with a spatio-temporally resolved Large-Eddy Simulation dataset on a representative configuration consisting of a cylinder with an upswept basal surface. Emphasis is placed on understanding the meandering motion of the vortices in the pair, including vortex core displacement, spectral content, stability mechanisms and overall rank-behavior. The first two energy-ranked modes obtained through Proper Orthogonal Decomposition(POD) of the time-resolved vorticity field reveals a pair of vortex dipoles aligned relatively perpendicularly to each other. The dynamics is successfully mapped to a matched Batchelor vortex pair whose spatial and temporal stability analyses indicate similar dipole structures associated with an |m|=1 elliptic mode pair. This short-wave elliptic instability dominates the meandering motion, with strain due to axial velocity playing a key role in breakdown. The low frequency of the unstable mode (Strouhal number StD =0.3 based on cylinder diameter) is consistent with spectral analysis of meandering in the LES. The wake is examined for its rank behavior; the number of modes required to reproduce the flow to given degree of accuracy diminishes rapidly outside of the immediate vicinity of the base. Beyond two diameters downstream, only two leading POD modes are required to reconstruct the dominant meandering motion and spatial structure in the LES data with < 15% performance loss, while ten modes nearly completely recover the flow field. This low-rank behavior may hold promise in constructing a reduced-order model for control purposes.

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