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PIV optimization for the study of turbulent flow using spectral analysis.

type de publication      communication sans actes
date de publication 22-09-2003
auteur(s) Foucaut Jean-Marc; Carlier Johan; Stanislas Michel
numéro de papier P3305
  
conférence 5th Int. Symposium in PIV
     dates de 22-09-2003 à 24-09-2003
     lieu Busan (Korea)
  
résumé Particle Image Velocimetry is a measurement technique which is well adapted to the study of the structure of turbulent flows as it study allows to obtain quantitative information on the spatial structure of the velocity field. This contribution presents an experimental approach to characterize the measurement noise of a PIV system and the spatial response of such a method. This approach is based on a specific spectral analysis of the velocity vector field deduced from several PIV experiments. This study was done in two steps. The first step was to measure the noise level of PIV and to determine a model for the PIV transfer function from a series of displacement fields measured in a quiet flow. The second step was to compute spectra from velocity fields obtained in a turbulent boundary layer in a plane parallel to the wall. These spectra showed that PIV behaves like a band pass filter. This series of experiments allows to build a model for the prediction of the PIV spectrum based on the real one. This model confirms that the PIV noise is white. It allows to optimize the interrogation window size in order to obtain the best compromise between the spectral response and the spatial resolution.
mots clés PIV, turbulent flow, spectrum
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