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Science and Technology of Nuclear Installations
Volume 2017 (2017), Article ID 7152730, 13 pages
Research Article

Prediction of Flow and Temperature Distributions in a High Flux Research Reactor Using the Porous Media Approach

1Department of Engineering Physics, Tsinghua University, Beijing 100086, China
2Institute of Nuclear Physics and Chemistry, China Academy of Engineering Physics, Mianyang 621900, China
3Key Laboratory of Advanced Reactor Engineering and Safety, Ministry of Education, Tsinghua University, Beijing 100086, China

Correspondence should be addressed to Shanfang Huang

Received 3 June 2017; Revised 12 October 2017; Accepted 2 November 2017; Published 11 December 2017

Academic Editor: Alejandro Clausse

Copyright © 2017 Shanfang Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


High thermal neutron fluxes are needed in some research reactors and for irradiation tests of materials. A High Flux Research Reactor (HFRR) with an inverse flux trap-converter target structure is being developed by the Reactor Engineering Analysis Lab (REAL) at Tsinghua University. This paper studies the safety of the HFRR core by full core flow and temperature calculations using the porous media approach. The thermal nonequilibrium model is used in the porous media energy equation to calculate coolant and fuel assembly temperatures separately. The calculation results show that the coolant temperature keeps increasing along the flow direction, while the fuel temperature increases first and decreases afterwards. As long as the inlet coolant mass flow rate is greater than 450 kg/s, the peak cladding temperatures in the fuel assemblies are lower than the local saturation temperatures and no boiling exists. The flow distribution in the core is homogeneous with a small flow rate variation less than 5% for different assemblies. A large recirculation zone is observed in the outlet region. Moreover, the porous media model is compared with the exact model and found to be much more efficient than a detailed simulation of all the core components.