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A turbulent-wake estimation using radial basis function neural networks
Hočevar, Marko (Author), Širok, Brane (Author), Grabec, Igor (Author)

URLURL - Presentation file, Visit http://dx.doi.org/10.1007/s10494-005-5728-4 This link opens in a new window

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 theoutput 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.

Language:English
Keywords:turbulence, experimental modeling, neural networks, visualisation
Work type:Not categorized (r6)
Tipology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Year:2005
Number of pages:str. 291-308
Numbering:Letn. 74, Št. 3
UDC:532.5:007
ISSN on article:1386-6184
COBISS.SI-ID:8439835 Link is opened in a new window
Views:644
Downloads:233
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Record is a part of a journal

Title:Flow, turbulence and combustion
Shortened title:Flow turbul. combust.
Publisher:Kluwer Academic Publishers
ISSN:1386-6184
COBISS.SI-ID:512103705 This link opens in a new window

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