1. A new method for extracting spanwise vortex from 2D particle image velocimetry data in open-channel flow
- Author
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Jiang Hu, Wenjie Li, Danxun Li, Peng Zhang, Shengfa Yang, and Fu Xuhui
- Subjects
Fluid Flow and Transfer Processes ,Physics ,Mechanical Engineering ,Acoustics ,0208 environmental biotechnology ,Hydraulic engineering ,02 engineering and technology ,vortex identification ,spanwise vortex ,01 natural sciences ,010305 fluids & plasmas ,020801 environmental engineering ,Open-channel flow ,Vortex ,Physics::Fluid Dynamics ,Particle image velocimetry ,Condensed Matter::Superconductivity ,0103 physical sciences ,open-channel flow ,TC1-978 ,vorticity filtering ,Water Science and Technology - 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.
- Published
- 2020
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