Extracting 3D vortices in turbulent fluid flow

被引:26
|
作者
Zhong, JL
Huang, TS
Adrian, RJ
机构
[1] AT&T Bell Labs, Lucent Technol, Multimedia Commun Res Lab, Murray Hill, NJ 07974 USA
[2] Univ Illinois, Beckman Inst, Dept Elect & Comp Engn, Urbana, IL 61801 USA
[3] Univ Illinois, Dept Theoret & Appl Mech, Urbana, IL 61801 USA
基金
美国国家科学基金会;
关键词
vector field segmentation; vortex structure analysis and extraction; critical points; pattern recognition;
D O I
10.1109/34.659938
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:193 / 199
页数:7
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