Revealing unsteady flow structure from flow visualization images

  • V. Durgesh
  • R.C. Semaan
  • J.W. Naughton


Flow visualization images of unsteady high Reynolds number flows contain a wealth of information about the flows from which they are obtained. Unfortunately, the primary structure in the flow is often obscured by smaller structures. In addition, periodic and quasi-periodic flows often require large data sets to fully characterize them. In this article, the application of the Proper Orthogonal Decomposition (POD) to flow visualization images of a turbulent swirling jet and in the near wake behind a bluff body is considered. The results show the ability of POD to isolate the larger, more important structure. In the quasi-periodic wake flow, the results of applying POD may be used further to recreate the typical dynamic behavior of the flow. Furthermore, the modal description of the flow obtained through POD analysis provides unique insight into the unsteady flow structure and its relative importance to the flow. As a result, POD enables the extraction of information from flow visualization imagery well beyond that possible from simple inspection.


Vortex Particle Image Velocimetry European Physical Journal Special Topic Coherent Structure Proper Orthogonal Decomposition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© EDP Sciences and Springer 2010

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringUniversity of WyomingLaramieUSA

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