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
DOI10.1007/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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace