Collaborative testing of eddy structure identification methods in free turbulent shear flows |
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Authors: | J. P. Bonnet J. Delville M. N. Glauser R. A. Antonia D. K. Bisset D. R. Cole H. E. Fiedler J. H. Garem D. Hilberg J. Jeong N. K. R. Kevlahan L. S. Ukeiley E. Vincendeau |
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Affiliation: | C.E.A.T – Laboratoire d’Etudes Aérodynamiques UMR CNRS 6609, Université de Poitiers 43 route de l’Aérodrome F-86036 Poitiers cedex, France, FR Department of Mechanical and Aeronautical Engineering Clarkson University Potsdam, NY 13699, USA, US Department of Mechanical Engineering University of Newcastle, N.S.W., 2308, Australia, AU Hermann-F?ttinger-Institute Technical University of Berlin D-10623 Berlin, Germany, DE Dept. of Mechanical Engineering University of Houston, TX 77204-4792 USA, US Department of Applied Mathematics and Theoretical Physics University of Cambridge Silver Street, Cambridge CB3 9EW, U.K., GB
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Abstract: | The thrust of this paper is to validate, test and compare several Coherent Structure eduction methods utilizing the same data base. The flow chosen was that of an experimental study of a plane, incompressible, fully developed turbulent two-stream mixing layer. The mixing layer was chosen as the data base because it has been studied extensively from a coherent structures point of view. In addition, its characteristics (similarity, convection velocities, etc.) are well documented. There are also no wall effects so that comparisons between techniques are simplified. The data was collected from hot wire rakes with good spatial resolution thus allowing the contributors to apply and test different structure eduction techniques. The techniques chosen for discussion and used here have found wide utilization over the past decade, and all hold forth the promise of extensive application in the future. These include: Conditional Sampling (Vorticity-based and other methods); Wavelets; Pattern Recognition Analysis; Proper Orthogonal Decomposition; Stochastic Estimation; Topological Concept-based methods; Full Field Methods (e.g., pseudo flow visualization). All are illustrated by application to the mixing layer data base, and comparisons made between the results. This common study has shown that direct comparisons between results of several methods are now possible. Good quantitive and qualitative agreement between the different methods have been observed as well as some differences noted. As an example, the size of the averaged structures computed from the various methods compare to within 6 percent. Received: 15 December 1994/Accepted: 18 December 1997 |
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