Evaluation of FFT-based cross-correlation algorithms for PIV in a periodic grooved channel
Evaluation of FFT-based cross-correlation algorithms for PIV in a periodic grooved channel
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DOI：
10.1007/s00348-002-0584-7
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发表时间：
2003-04-01
影响因子：
2.4
通讯作者：
Johnson, DA
中科院分区：
文献类型：
--
作者：
Gilbert, R;Johnson, DA
采用四种不同的粒子图像测速（PIV）算法对周期性槽道内的湍流流动进行了研究。四种方法中的每一种都基于两个询问区域之间的快速傅里叶变换（FFT）互相关。该研究比较了四种最常见的PIV互相关算法与同一组图像。测得的平均速度矢量场和推导出的流量统计，包括湍流波动和雷诺应力，是非常相似的，以前公布的DNS计算每个互相关算法检查。使用询问区域变形FFT算法和DNS计算产生的结果之间的差异始终是评价的四种互相关算法中最小的。
The turbulent flow in a periodically grooved channel is investigated using four different particle image velocimetry (PIV) algorithms. Each of the four methods is based on a fast-Fourier transform (FFT) cross-correlation between two interrogation areas. The study compares the four most common PIV cross-correlation algorithms with the same set of images. The measured average velocity vector field and the derived flow statistics, including the turbulent fluctuations and Reynolds stresses, were very similar to previously published DNS calculations for each cross-correlation algorithm examined. The difference between the results produced with the interrogation area deformation FFT algorithm and the DNS calculations was consistently the smallest of the four cross-correlation algorithms evaluated.