Instantaneous PIV/PTV-based pressure gradient estimation: a framework for error analysis and correction

被引:0
|
作者
Jeffrey McClure
Serhiy Yarusevych
机构
[1] University of Waterloo,
来源
Experiments in Fluids | 2017年 / 58卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
A framework for the exact determination of the pressure gradient estimation error in incompressible flows given erroneous velocimetry data is derived which relies on the calculation of the curl and divergence of the pressure gradient error over the domain and then the solution of a div–curl system to reconstruct the pressure gradient error field. In practice, boundary conditions for the div–curl system are unknown, and the divergence of the pressure gradient error requires approximation. The effect of zero pressure gradient error boundary conditions and approximating the divergence are evaluated using three flow cases: (1) a stationary Taylor vortex; (2) an advecting Lamb–Oseen vortex near a boundary; and (3) direct numerical simulation of the turbulent wake of a circular cylinder. The results show that the exact form of the pressure gradient error field reconstruction converges onto the exact values, within truncation and round-off errors, except for a small flow field region near the domain boundaries. It is also shown that the approximation for the divergence of the pressure gradient error field retains the fidelity of the reconstruction, even when velocity field errors are generated with substantial spatial variation. In addition to the utility of the proposed technique to improve the accuracy of pressure estimates, the reconstructed error fields provide spatially resolved estimates for instantaneous PIV/PTV-based pressure error.
引用
收藏
相关论文
共 50 条
  • [1] Instantaneous PIV/PTV-based pressure gradient estimation: a framework for error analysis and correction
    McClure, Jeffrey
    Yarusevych, Serhiy
    EXPERIMENTS IN FLUIDS, 2017, 58 (08)
  • [2] Generalized framework for PIV-based pressure gradient error field determination and correction
    McClure, Jeffrey
    Yarusevych, Serhiy
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2019, 30 (08)
  • [3] Uncertainty of PIV/PTV based Eulerian pressure estimation using velocity uncertainty
    Zhang, Jiacheng
    Bhattacharya, Sayantan
    Vlachos, Pavlos P.
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 33 (06)
  • [4] A model-based validation framework for PIV and PTV
    Young, CN
    Johnson, DA
    Weckman, EJ
    EXPERIMENTS IN FLUIDS, 2004, 36 (01) : 23 - 35
  • [5] A model-based validation framework for PIV and PTV
    C. N. Young
    D. A. Johnson
    E. J. Weckman
    Experiments in Fluids, 2004, 36 : 23 - 35
  • [6] Error propagation from the PIV-based pressure gradient to the integrated pressure by the omnidirectional integration method
    Liu, Xiaofeng
    Moreto, Jose Roberto
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2020, 31 (05)
  • [7] Dose analysis of organs at risk dependent on non-PTV and PTV-based breast irradiation in different breathing modes
    Zurl, B.
    Stranzl, H.
    Flitsch, R.
    Kapp, K. S.
    RADIOTHERAPY AND ONCOLOGY, 2014, 111 : S226 - S226
  • [8] An irrotation correction on pressure gradient and orthogonal-path integration for PIV-based pressure reconstruction
    Wang, Zhongyi
    Gao, Qi
    Wang, Chengyue
    Wei, Runjie
    Wang, Jinjun
    EXPERIMENTS IN FLUIDS, 2016, 57 (06)
  • [9] An irrotation correction on pressure gradient and orthogonal-path integration for PIV-based pressure reconstruction
    Zhongyi Wang
    Qi Gao
    Chengyue Wang
    Runjie Wei
    Jinjun Wang
    Experiments in Fluids, 2016, 57
  • [10] Uncertainty analysis shows equivalence of PTV-based VMAT and robust IMPT for model-based selection
    Santiago, J. Rojo
    Korevaar, E.
    Perko, Z.
    Both, S.
    Habraken, S. J.
    Hoogeman, M. S.
    RADIOTHERAPY AND ONCOLOGY, 2022, 170 : S393 - S394