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A Turbulent-Wake Estimation Using Radial Basis Function Neural Networks

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Abstract

An estimation of the fluctuations in the passive-tracer concentration for the turbulent wake behind an airfoil is presented. The estimation is based on experimental modelling using Radial Basis Function Neural Networks. For the experiment the fluctuations of the concentration in the turbulent wake were recorded with a visualization method. The records of the concentration in the selected regions of the turbulent wake were used as the input and output regions for the training and estimation with neural networks. The uncertainty of the estimation increased with increasing distance between the input and the output regions. The power spectra, the spatial correlation functions and the profiles of the concentration were calculated from the measured and estimated fluctuations of the concentration. The measured and estimated concentration power spectra were in reasonable agreement. The measured and estimated spatial correlation functions and the profiles of the concentration showed a similar agreement.

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, P.O. Box 394, SI – 1000, Ljubljana, Slovenia

    Marko Hočevar, Brane Širok & Igor Grabec

Authors
  1. Marko Hočevar
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  2. Brane Širok
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  3. Igor Grabec
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Correspondence to Marko Hočevar.

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Hočevar, M., Širok, B. & Grabec, I. A Turbulent-Wake Estimation Using Radial Basis Function Neural Networks. Flow Turbulence Combust 74, 291–308 (2005). https://doi.org/10.1007/s10494-005-5728-4

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  • DOI: https://doi.org/10.1007/s10494-005-5728-4

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