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A new method for extracting spanwise vortex from 2D particle image velocimetry data in open-channel flow

Authors
  • Zhang, Peng1
  • Yang, Shengfa2
  • Hu, Jiang2
  • Li, Wenjie2
  • Fu, Xuhui2
  • Li, Danxun1
  • 1 Tsinghua University, 100084 , (China)
  • 2 Chongqing Jiaotong University, 400074 , (China)
Type
Published Article
Journal
Journal of Hydrology and Hydromechanics
Publisher
Sciendo
Publication Date
Aug 10, 2020
Volume
68
Issue
3
Pages
242–248
Identifiers
DOI: 10.2478/johh-2020-0020
Source
De Gruyter
Keywords
License
Green

Abstract

The two-dimensional particle image velocimetry (PIV) data are inevitably contaminated by noise due to various imperfections in instrumentation or algorithm, based on which the well-established vortex identification methods often yield noise or incomplete vortex structure with a jagged boundary. To make up this deficiency, a novel method was proposed in this paper and the efficiency of the new method was demonstrated by its applications in extracting the two-dimensional spanwise vortex structures from 2D PIV data in open-channel flows. The new method takes up a single vortex structure by combining model matching and vorticity filtering, and successfully locates the vortex core and draws a streamlined vortex boundary. The new method shows promise as being more effective than commonly used schemes in open-channel flow applications.

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