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首页> 外文期刊>Experiments in Fluids >Uncovering large-scale coherent structures in natural and forced turbulent wakes by combining PIV, POD, and FTLE
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Uncovering large-scale coherent structures in natural and forced turbulent wakes by combining PIV, POD, and FTLE

机译:通过结合PIV,POD和FTLE发现自然湍流和强迫湍流中的大规模相干结构

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摘要

Planar velocity data of the unsteady separated flow in the turbulent wake of a circular cylinder obtained by particle image velocimetry (PIV) are analyzed in order to visualize the large-scale coherent structures associated with alternating vortex shedding at a Reynolds number of 2,150. Two different cases are examined: unforced vortex shedding in the natural wake and vortex lock-on incited by forced perturbations superimposed in the inflow velocity. Proper orthogonal decomposition (POD) is employed to reconstruct the low-order wake dynamics from randomly sampled snapshots of the velocity field. The reconstructed flow is subsequently used to determine the evolution of the finite-time Lyapunov exponent (FTLE) fields which identify the Lagrangian coherent structures. The results demonstrate that the combination of methods employed offers a powerful visualization tool to uncover large-scale coherent structures and to exemplify vortex dynamics in natural and forced bluff-body wakes.
机译:分析了通过颗粒图像测速(PIV)获得的圆柱体湍流中非定常分离流的平面速度数据,以便可视化与雷诺数为2,150的交替涡旋脱落相关的大规模相干结构。研究了两种不同的情况:自然苏醒中的非强迫涡流脱落和叠加在流入速度中的强迫扰动引起的涡旋锁定。适当的正交分解(POD)用于从速度场的随机采样快照中重建低阶唤醒动力学。重建的流随后用于确定标识Lagrangian相干结构的有限时间Lyapunov指数(FTLE)场的演化。结果表明,所采用方法的组合提供了一个强大的可视化工具,可揭示大规模相干结构,并举例说明自然和强迫虚张声势尾流中的涡旋动力学。

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