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TECHNICAL PAPERS

Experimental Turbulent Field Modeling by Visualization and Neural Networks

[+] Author and Article Information
Marko Hočevar, Brane Širok

Faculty of Mechanical Engineering, Hydraulic Machines Laboratory, University of Ljubljana, Aškerčeva 6, P.O. Box 394, SI-1000 Ljubljana, Slovenia

Igor Grabec

Faculty of Mechanical Engineering, Laboratory of Technical Physics, University of Ljubljana, Aškerčeva 6, P.O. Box 394, SI-1000 Ljubljana, Slovenia

J. Fluids Eng 126(3), 316-322 (Jul 12, 2004) (7 pages) doi:10.1115/1.1760534 History: Received March 20, 2003; Revised January 05, 2004; Online July 12, 2004
Copyright © 2004 by ASME
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References

Figures

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Experimental configuration.
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Karman vortex street. Flow direction is from right to left. L=40 mm is the estimated average vortices size.
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Position of input and output regions. Time series of concentration x(i) and y(d) were used as inputs to and the required outputs from the RBNN, respectively.
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Time series of measured and modeled concentrations: a) small distance d=0.025 L between the input and the output region, b) large distance d=1 L between the input and the output region. The records were acquired in two characteristic regions corresponding to h=1 L (above) and h=0 L (below).
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Spectra of measured and modeled tracer concentrations compared to the −5/3 decay law of turbulence: a) the distance between the input and the output region d=0.025 L,b) the distance between the input and the output region d=0.5 L and c) the distance between the input and the output region d=1 L.h denotes the vertical position of the input/output region.
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Comparison of measured and modeled concentration correlation functions Qe and Qm, Taylor scales λc,m and λc,e at five off-axis distances from h=0 L to h=2 L.

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