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Globally optimized cross-correlation for particle image velocimetry

文献类型：期刊论文

作者Wang HP(王洪平); He GW(何国威); Wang SZ(王士召)
刊名EXPERIMENTS IN FLUIDS
出版日期2020-10-10
卷号61期号:11页码:228
关键词TRACKING VELOCIMETRY MOTION ESTIMATION PIV FLOW RESOLUTION ALGORITHM
ISSN号0723-4864
DOI10.1007/s00348-020-03062-x
英文摘要We propose a global optimization method to automatically search for the correlation peak instead of computing the entire cross-correlation map throughout an interrogation window (IW) using a fast Fourier transform (FFT)-based method. The proposed method, named globally optimized cross-correlation for particle image velocimetry (GOCCPIV), minimizes an objective function consisting of a residual term for cross-correlation and a penalty term for smoothness to solve the optimal velocity field. A very small IW is adopted in GOCCPIV to obtain a dense velocity field with a high spatial resolution. The proposed method is quantitatively validated on synthetic particle image pairs with different flow patterns and is compared with the mainstream FFT-based cross-correlation method (FFTCCPIV) and physical-based optical flow (OpticalFlow). We consider the influences of the IW size, particle concentration, particle image diameter, large displacements and image noise on the velocity measurements. Error analysis indicates that GOCCPIV outperforms FFTCCPIV in resolving small-scale vortices and reducing the measurement error. Finally, the proposed method is applied to a real PIV experiment with an impinging jet. The results indicate that GOCCPIV is more suitable than FFTCCPIV for resolving high-velocity-gradient regions.
分类号二类
WOS研究方向Engineering ; Mechanics
语种英语
WOS记录号WOS:000582464700004
资助机构NSFC Basic Science Center Program for 'Multiscale Problems in Nonlinear Mechanics' [11988102} ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11702302, 11922214, 91752118} ; Strategic Priority Research ProgramChinese Academy of Sciences [XDB22040104} ; Key Research Program of Frontier Sciences of the Chinese Academy of Sciences [QYZDJ-SSW-SYS002}
其他责任者Wang, SZ
源URL[http://dspace.imech.ac.cn/handle/311007/85436]  
专题力学研究所_非线性力学国家重点实验室
作者单位1.{He Guowei, Wang Shizhao} Univ Chinese Acad Sci Sch Engn Sci Beijing 100049 Peoples R China
2.{Wang Hongping, He Guowei, Wang Shizhao} Chinese Acad Sci State Key Lab Nonlinear Mech Inst Mech Beijing 100190 Peoples R China
推荐引用方式
GB/T 7714		 Wang HP,He GW,Wang SZ. Globally optimized cross-correlation for particle image velocimetry[J]. EXPERIMENTS IN FLUIDS,2020,61(11):228.
APA 王洪平,何国威,&王士召.(2020).Globally optimized cross-correlation for particle image velocimetry.EXPERIMENTS IN FLUIDS,61(11),228.
MLA 王洪平,et al."Globally optimized cross-correlation for particle image velocimetry".EXPERIMENTS IN FLUIDS 61.11(2020):228.

入库方式： OAI收割

来源：力学研究所

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