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Open Access

Methods to Identify Individual Eddy Structures in Turbulent Flow

Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA
Mathematics and Computer Science Department, Carleton College, Northfield, Minnesota, MN 55057, USA
Department of Aerospace Engineering and Mechanics, University of Minnesota, Minneapolis, MN 55455, USA
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Abstract

Turbulent flows are intrinsic to many processes in science and engineering, and efforts to elucidate the physics of turbulence are of critical importance to many fields. However, ongoing efforts to achieve a fundamental understanding of the mechanisms of turbulent flow are hindered by the difficulty of quantifying the complex, non-linear interactions between individual eddies in these flows. The difficulty of this task is compounded by the lack of robust methods for accurately identifying individual eddy structures and characterizing their dynamic evolution and organization across multiple scales. In this paper we address this problem by proposing several novel approaches for more accurately segmenting individual eddy structures in turbulent flows.

References

[1]
R. J. Adrian, C. D. Meinhart, and C. D. Tomkins, Vortex organization in the outer region of the turbulent boundary layer, J. Fluid Mech.,vol. 422, pp. 1-54, 2000.
[2]
Q. Gao, C. Ortiz-Duenas, and E. K. Longmire, Analysis of vortex populations in turbulent wall-bounded flows, J. Fluid Mech.,vol. 678, pp. 87-123, 2011.
[3]
W. Jiang, R. Machiraju, and D. Thompson, Detection and visualization of vortices, in The Visualization Handbook, C. Hansen and C. Johnson, Eds., Elsevier Academic Press, 2004, pp. 295-326.
[4]
J. C. del Alamo, J. Jimenez, P. Zandonade, and R. D. Moser, Scaling of the energy spectra of turbulent channels, J. Fluid Mech.,vol. 500, pp. 135-144, 2004.
[5]
J. C. R. Hunt, A. A. Wray, and P. Moin, Eddies, streams and convergence zones in turbulent flows, in Proc. 1988 Summer Program of the Center for Turbulence Research, 1998, pp. 193-208.
[6]
M. S. Chong, A. E. Perrym, and B. J. Cantwell, A general classification of three-dimensional flow fields, Physics of Fluids.,vol. 2, no. 5, pp. 765-777, 1990.
[7]
J. Jeong and F. Hussain, On the identification of a vortex, J. Fluid Mech.,vol. 285, pp. 69-94, 1995.
[8]
J. Zhou, R. J. Adrian, S. Balachandar, and T. M. Kendall, Mechanisms for generating coherent packets of hairpin vortices in channel flow, J. Fluid Mech.,vol. 387, pp. 353-396, 1999.
[9]
D. Bauer and R. Peikert, Vortex tracking in scale-space, in Proc. Joint Eurographics-IEEE TCVG Symposium on Visualization, Barcelona, Spain, 2002, pp. 233-240.
[10]
D. Kenwright and R. Haimes, Automatic vortex core detections, Computer Graphics and Applications,vol. 13, no. 6, pp. 70-74, 1998.
[11]
M. Roth and R. Peikert, A higher-order method for finding vortex core lines, in Proc. IEEE Visualization ‘98, 1998, pp. 143-150.
[12]
J. Sahner, T. Weinkauf, and H. C. Hege, Galilean invariant extraction and iconic representation of vortex core lines, in Proc. Joint Eurographics/IEEE VGTC Symposium on Visualization (EuroVis ‘05), Leeds, UK, 2005, pp. 151-160.
[13]
J. Sahner, T. Weinkauf, N. Teuber, and H. C. Hege, Vortex and strain skeletons in Eulerian and Lagrangian frames, IEEE Transactions on Visualization and Computer Graphics,vol. 13, no. 5, pp. 980-990, 2007.
[14]
T. Weinkauf, J. Sahner, H. Theisel, and H. C. Hege, Cores of swirling particle motion in unsteady flows, IEEE Transactions on Visualization and Computer Graphics,vol. 13, no. 6, pp. 1759-1766, 2007.
[15]
D. C. Banks and B. A. Singer, A predictor-corrector technique for visualizing unsteady flow, IEEE Transactions on Visualization and Computer Graphics,vol. 1, no. 2, pp. 151-163, 1995.
[16]
S. Stegmaier, U. Rist, and T. Ertl, Opening the can of worms: An exploration tool for vortical flows, in Proc. IEEE Visualization 2005, 2005, pp. 463-470.
[17]
M. Jankun-Kelly, M. Jiang, D. Thompson, and R. Machiraju, Vortex visualization for practical engineering applications, IEEE Transactions on Visualization and Computer Graphics,vol. 12, no. 5, pp. 957-964, 2006.
[18]
G. Haller, An objective definition of a vortex, J. Fluid Mech.,vol. 525, pp. 1-26, 2005.
[19]
F. Sadlo and R. Peikert, Efficient visualization of Lagrangian coherent structures by filtered AMR ridge extraction, IEEE Transactions on Visualization and Computer Graphics,vol. 13, no. 6, pp. 1456-1463, 2007.
[20]
R. Fuchs, R. Peikert, H. Hauser, F. Sadlo, and P. Muigg, Parallel vectors criteria for unsteady flow vortices, IEEE Transactions on Visualization and Computer Graphics,vol. 14, no. 3, pp. 615-626, 2008.
[21]
P. Chakraborty, S. Balachandar, and R. J. Adrian, On the relationships between local vortex identification schemes, J. Fluid Mech.,vol. 535, pp. 189-214, 2005.
Tsinghua Science and Technology
Pages 125-136
Cite this article:
Wang S, Goldfeather J, Longmire EK, et al. Methods to Identify Individual Eddy Structures in Turbulent Flow. Tsinghua Science and Technology, 2013, 18(2): 125-136. https://doi.org/10.1109/TST.2013.6509096

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Received: 21 February 2013
Accepted: 10 March 2013
Published: 30 April 2013
© The author(s) 2013
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