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Sensitivity Study on Turbulence Models for the Prediction of the Reactor Internal Flow

[+] Author Affiliations
Gong Hee Lee, Young Seok Bang, Sweng Woong Woo, Ae Ju Cheong

Korea Institute of Nuclear Safety, Daejeon, Republic of Korea

Paper No. ICONE22-31255, pp. V02BT09A064; 8 pages
doi:10.1115/ICONE22-31255
From:
  • 2014 22nd International Conference on Nuclear Engineering
  • Volume 2B: Thermal Hydraulics
  • Prague, Czech Republic, July 7–11, 2014
  • Conference Sponsors: Nuclear Engineering Division
  • ISBN: 978-0-7918-4591-2
  • Copyright © 2014 by ASME

abstract

In this study, in order to assess the prediction performance of Reynolds-averaged Navier-Stokes (RANS)-based turbulence models for the analysis of flow distribution inside the 1/5 scaled-down APR+ (Advanced Power Reactor Plus), the simulation was conducted with the commercial computational fluid dynamics software, ANSYS CFX R.13. The results predicted were then compared with the measured data. It was concluded that reactor internal-flow pattern differed locally; depending on the turbulence models used. In particular, the prediction performance of turbulence models showed the largest difference in the regions from the flow skirt to fuel assembly inlet. The prediction performance of the k-ε model was superior to other turbulence models. This model also predicted the relatively uniform distribution of core-inlet flow-rate.

Copyright © 2014 by ASME

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