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Spatial pyramidal cross correlation for particle image velocimetry
Wang HP; Wu P; Gao Q; Wang JJ; Wang JJ
发表期刊SCIENCE CHINA-TECHNOLOGICAL SCIENCES
2018-06-01
卷号61期号:6页码:867-878
ISSN1674-7321
摘要A spatial pyramidal cross-correlation based on interrogation area sub-division is introduced to improve the measurement resolution in particle image velocimetry (PIV). The high-resolution velocity can be achieved with a velocity prediction model via coarse cross-correlation. The prediction formula is deduced from the frequency response of the moving average (MA). The performance of this method was assessed using synthetically generated images of sinusoidal shear flow, two-dimensional vortical cellular flow, and homogeneous turbulence. A real PIV experiment of turbulent boundary layer was used to evaluate the new method. The results indicate that the spatial pyramid cross-correlation can robustly increase the spatial resolution.
关键词Particle Image Velocimetry (Piv) Cross Correlation Spatial Resolution Moving Average
DOI10.1007/s11431-017-9191-3
收录类别SCI ; EI
语种英语
WOS记录号WOS:000434806700007
关键词[WOS]SPACE-TIME CORRELATIONS ; TURBULENT SHEAR FLOWS ; DEFORMATION METHODS ; PIV ; RESOLUTION ; INTERROGATION ; ACCURACY
WOS研究方向Engineering ; Materials Science
WOS类目Engineering, Multidisciplinary ; Materials Science, Multidisciplinary
项目资助者National Natural Science Foundation of China(11702302 ; Fundamental Research Funds for Central Universities(YWF-16-JCTD-A-05) ; Natural Science Foundation of Jiangsu Province(BK20140344) ; 51406127 ; 11572331)
论文分区二类
力学所作者排名1
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文献类型期刊论文
条目标识符http://dspace.imech.ac.cn/handle/311007/77514
专题非线性力学国家重点实验室
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GB/T 7714
Wang HP,Wu P,Gao Q,et al. Spatial pyramidal cross correlation for particle image velocimetry[J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES,2018,61(6):867-878.
APA Wang HP,Wu P,Gao Q,Wang JJ,&Wang JJ.(2018).Spatial pyramidal cross correlation for particle image velocimetry.SCIENCE CHINA-TECHNOLOGICAL SCIENCES,61(6),867-878.
MLA Wang HP,et al."Spatial pyramidal cross correlation for particle image velocimetry".SCIENCE CHINA-TECHNOLOGICAL SCIENCES 61.6(2018):867-878.
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