Statistical Analysis and Accuracy of PIV Data

  • Authors:

  • U. Ullum;J. J. Schmidt;P. S. Larsen;D. R. McCluskey

  • Affiliations:

  • Department of Energy Engineering, Fluid Mechanics Section, Technical University of Denmark, Building 404, DK-2800 Lyngby, Denmark;Department of Energy Engineering, Fluid Mechanics Section, Technical University of Denmark, Building 404, DK-2800 Lyngby, Denmark;Department of Energy Engineering, Fluid Mechanics Section, Technical University of Denmark, Building 404, DK-2800 Lyngby, Denmark;Dantec Measurement Technology A/S, Tonsbakken 16-18, DK-2740 Skovlunde, Denmark

  • Venue:
  • Journal of Visualization
  • Year:
  • 1998

Quantified Score

Hi-index 0.00

Visualization

Abstract

In an assessment of PIV measurement accuracy under practical experimental circumstances, grid-generated turbulence in its early decay (x/M = 13.6-15.2, Re_&lgr; ≈ 25) has been studied. Since a real-time processor was used, it was practical to acquire a statistically significant sample size of 3000 vector maps so that accurate turbulence statistics could be calculated. Results include moments of velocity components and spatial structures in terms of auto-correlations, turbulence scales and spectra. Data fall within limits of standard error estimates. This study demonstrates the need for large sample sizes, particularly for higher order statistics.