首页> 外文期刊>Experiments in Fluids: Experimental Methods and Their Applications to Fluid Flow >Wavelet based eddy structure eduction from a backward facing step flow investigated using particle image velocimetry
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Wavelet based eddy structure eduction from a backward facing step flow investigated using particle image velocimetry

机译:利用粒子图像测速技术研究从后向步进流产生的基于小波的涡结构

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The eddy structures shed in a backward facing step (BFS) flow are considered in this work. Particle image velocimetry (PIV) measurements are performed in the recirculating region located downstream of the step. These measurements are validated by comparison with data available in the literature. An automatic vortex detection algorithm is developed for the purpose of the automatic analysis of the experimental data to detect and characterize the eddy structures. This provides a database that can be further post-processed to obtain a statistical characterization of the vortices. The streamwise statistical evolution of the diameter and circulation of the cores of the detected vortices is evaluated and stored in a database. This database is used to propose an illustration of the energy contents of the detected eddy versus the core inverse size but also an ensemble average of a given class of vortices. [References: 32]
机译:在这项工作中考虑了以向后步骤(BFS)流动的涡流结构。颗粒图像测速(PIV)测量在位于步骤下游的再循环区域中进行。通过与文献中可用的数据进行比较,可以验证这些测量结果。为了自动分析实验数据以检测和表征涡流结构,开发了一种自动涡旋检测算法。这提供了可以进一步进行后处理以获得涡旋统计特征的数据库。对所检测到的涡旋的直径和核的环流进行逐流统计演变,并将其存储在数据库中。该数据库用于提出检测到的涡流的能量含量与堆芯倒数的关系的图解,也可以给出给定类别的涡旋的整体平均值。 [参考:32]

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