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

Title:

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

Creator:

Zhang, Peng, Yang, Shengfa, Hu, Jiang, Li, Wenjie, Fu, Xuhui, and Li, Danxun

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:c0775088-e9ba-4457-98a0-c29cd4d295d6
uuid:c0775088-e9ba-4457-98a0-c29cd4d295d6
doi:10.2478/johh-2020-0020

Subject:

cortex identification, spanwise vortex, vorticity filtering, and open-channel flow

Type:

model:article and TEXT

Format:

počítač and online zdroj

Description:

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 twodimensional 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.

Language:

Slovak

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

242-248

Source:

Journal of hydrology and hydromechanics | 2020 Volume:68 | Number:3

Harvested from:

CDK

Metadata only:

false