Extracting 3D vortices in turbulent fluid flow

Jialin Zhong; Thomas S. Huang; Ronald J. Adrian

doi:10.1109/34.659938

Extracting 3D vortices in turbulent fluid flow

Jialin Zhong, Thomas S. Huang, Ronald J. Adrian

Research output: Contribution to journal › Article › peer-review

39 Scopus citations

Abstract

This paper presents a computational framework to extract salient patterns called vortex structures from 3D turbulent fluid flows. These structures can be characterized as regions of dominating rotational motion in the velocity fields and intensity concentrations in the corresponding vorticity fields. A pointwise linear representation is employed to approximate the kinematics of the flow field and the fluid motion is classified according to motion analysis or topological patterns. The regions of vortex structures are identified as those dominated by rotational motion or those of focus-type singularity. The 2D vortices as a special case of 3D vortices are detected by searching for regions of vorticity concentrations.

Original language	English (US)
Pages (from-to)	193-199
Number of pages	7
Journal	IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume	20
Issue number	2
DOIs	https://doi.org/10.1109/34.659938
State	Published - 1998
Externally published	Yes

Keywords

Critical points
Pattern recognition
Vector field segmentation
Vortex structure analysis and extraction

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Computational Theory and Mathematics
Artificial Intelligence
Applied Mathematics

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10.1109/34.659938

Cite this

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title = "Extracting 3D vortices in turbulent fluid flow",

abstract = "This paper presents a computational framework to extract salient patterns called vortex structures from 3D turbulent fluid flows. These structures can be characterized as regions of dominating rotational motion in the velocity fields and intensity concentrations in the corresponding vorticity fields. A pointwise linear representation is employed to approximate the kinematics of the flow field and the fluid motion is classified according to motion analysis or topological patterns. The regions of vortex structures are identified as those dominated by rotational motion or those of focus-type singularity. The 2D vortices as a special case of 3D vortices are detected by searching for regions of vorticity concentrations.",

keywords = "Critical points, Pattern recognition, Vector field segmentation, Vortex structure analysis and extraction",

author = "Jialin Zhong and Huang, {Thomas S.} and Adrian, {Ronald J.}",

note = "Funding Information: This work was supported by National Science Foundation Grant IRI-89-08255, NSF ATM 89-20605, and Joint Services Electronics Program Grant N00014-90-5-1270. The authors would like to thank J. Zhou for providing 3D Direct Numerical Simulation data and C. Meinhart for providing 2D PIV data. Prof. Y. Bresler provided enlightening discussions.",

year = "1998",

doi = "10.1109/34.659938",

language = "English (US)",

volume = "20",

pages = "193--199",

journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",

issn = "0162-8828",

publisher = "IEEE Computer Society",

number = "2",

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TY - JOUR

T1 - Extracting 3D vortices in turbulent fluid flow

AU - Zhong, Jialin

AU - Huang, Thomas S.

AU - Adrian, Ronald J.

N1 - Funding Information: This work was supported by National Science Foundation Grant IRI-89-08255, NSF ATM 89-20605, and Joint Services Electronics Program Grant N00014-90-5-1270. The authors would like to thank J. Zhou for providing 3D Direct Numerical Simulation data and C. Meinhart for providing 2D PIV data. Prof. Y. Bresler provided enlightening discussions.

PY - 1998

Y1 - 1998

N2 - This paper presents a computational framework to extract salient patterns called vortex structures from 3D turbulent fluid flows. These structures can be characterized as regions of dominating rotational motion in the velocity fields and intensity concentrations in the corresponding vorticity fields. A pointwise linear representation is employed to approximate the kinematics of the flow field and the fluid motion is classified according to motion analysis or topological patterns. The regions of vortex structures are identified as those dominated by rotational motion or those of focus-type singularity. The 2D vortices as a special case of 3D vortices are detected by searching for regions of vorticity concentrations.

AB - This paper presents a computational framework to extract salient patterns called vortex structures from 3D turbulent fluid flows. These structures can be characterized as regions of dominating rotational motion in the velocity fields and intensity concentrations in the corresponding vorticity fields. A pointwise linear representation is employed to approximate the kinematics of the flow field and the fluid motion is classified according to motion analysis or topological patterns. The regions of vortex structures are identified as those dominated by rotational motion or those of focus-type singularity. The 2D vortices as a special case of 3D vortices are detected by searching for regions of vorticity concentrations.

KW - Critical points

KW - Pattern recognition

KW - Vector field segmentation

KW - Vortex structure analysis and extraction

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JO - IEEE Transactions on Pattern Analysis and Machine Intelligence

JF - IEEE Transactions on Pattern Analysis and Machine Intelligence

IS - 2

ER -

Extracting 3D vortices in turbulent fluid flow

Abstract

Keywords

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