Skip to main content

News about Scitation

In December 2016 Scitation will launch with a new design, enhanced navigation and a much improved user experience.

To ensure a smooth transition, from today, we are temporarily stopping new account registration and single article purchases. If you already have an account you can continue to use the site as normal.

For help or more information please visit our FAQs.

banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
1. J. C. R. Hunt, A. A. Wray, and P. Moin, “Eddies, streams, and convergence zones in turbulent flows,” in Proceedings of the Summer Program of the Center for Turbulence Research (NASA Ames/Stanford University, USA, 1988), pp. 193208.
2. M. S. Chong, A. E. Perry, and B. J. Cantwell, “A general classification of three-dimensional flow fields,” Phys. Fluids 2(5), 765777 (1990).
3. J. Jeong and F. Hussain, “On the identification of a vortex,” J. Fluid Mech. 285, 6994 (1995).
4. 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. 387, 353396 (1999).
5. N. Jacobson, Basic Algebra I, 2nd ed. (W. H. Freeman and Company, New York, 1985), pp. 264266.
6.The Burgers vortex is an Oseen vortex imbedded in an axisymmetric staining motion. Although the straining extends to infinity, it is treated as a local strain (i.e., fluctuating) when Burgers vortex is used to model a small vortex in larger scale turbulence.
7. J. C. Del Álamo, J. Jiménez, P. Zandonade, and R. D. Moser, “Scaling of the energy spectra of turbulent channels,” J. Fluid Mech. 500, 135144 (2004).
8. Y. Wu and K. T. Christensen, “Population trends of spanwise vortices in wall turbulence,” J. Fluid Mech. 568, 5576 (2006).
9. S. Herpin, M. Stanislas, and J. Soria, “The organization of near-wall turbulence: A comparison between boundary layer SPIV data and channel flow DNS data,” J. Turbul. 11(47), 130 (2010).

Data & Media loading...


Article metrics loading...



Eigenvalues of the 3D critical point equation (∇)ν = λν are normally computed numerically. In the letter, we present analytic solutions for 3D swirling strength in both compressible and incompressible flows. The solutions expose functional dependencies that cannot be seen in numerical solutions. To illustrate, we study the difference between using fluctuating and total velocity gradient tensors for vortex identification. Results show that mean shear influences vortex detection and that distortion can occur, depending on the strength of mean shear relative to the vorticity at the vortex center.


Full text loading...


Access Key

  • FFree Content
  • OAOpen Access Content
  • SSubscribed Content
  • TFree Trial Content
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd