Spatial pyramidal cross correlation for particle image velocimetry | |
Wang HP; Wu P; Gao Q; Wang JJ; Wang JJ | |
刊名 | SCIENCE CHINA-TECHNOLOGICAL SCIENCES |
2018-06-01 | |
卷号 | 61期号:6页码:867-878 |
关键词 | Particle Image Velocimetry (Piv) Cross Correlation Spatial Resolution Moving Average |
ISSN号 | 1674-7321 |
DOI | 10.1007/s11431-017-9191-3 |
文献子类 | Article |
英文摘要 | 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. |
分类号 | 二类 |
WOS关键词 | SPACE-TIME CORRELATIONS ; TURBULENT SHEAR FLOWS ; DEFORMATION METHODS ; PIV ; RESOLUTION ; INTERROGATION ; ACCURACY |
WOS研究方向 | Engineering ; Materials Science |
语种 | 英语 |
WOS记录号 | WOS:000434806700007 |
资助机构 | 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) |
内容类型 | 期刊论文 |
源URL | [http://dspace.imech.ac.cn/handle/311007/77514] |
专题 | 力学研究所_非线性力学国家重点实验室 |
推荐引用方式 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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