Volume 2014, Issue 1 167426
Research Article
Open Access

Modeling of SPERT IV Reactivity Initiated Transient Tests in EUREKA-2/RR Code

N. H. Badrun

Corresponding Author

N. H. Badrun

Institute of Nuclear Science & Technology (INST), Atomic Energy Research Establishment (AERE), Ganakbari, Savar, P.O. Box 3787, Dhaka 1000, Bangladesh aere.org.bd

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M. H. Altaf

M. H. Altaf

Institute of Nuclear Science & Technology (INST), Atomic Energy Research Establishment (AERE), Ganakbari, Savar, P.O. Box 3787, Dhaka 1000, Bangladesh aere.org.bd

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M. A. Motalab

M. A. Motalab

Institute of Nuclear Science & Technology (INST), Atomic Energy Research Establishment (AERE), Ganakbari, Savar, P.O. Box 3787, Dhaka 1000, Bangladesh aere.org.bd

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M. S. Mahmood

M. S. Mahmood

Institute of Nuclear Science & Technology (INST), Atomic Energy Research Establishment (AERE), Ganakbari, Savar, P.O. Box 3787, Dhaka 1000, Bangladesh aere.org.bd

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M. J. H. Khan

M. J. H. Khan

Institute of Nuclear Science & Technology (INST), Atomic Energy Research Establishment (AERE), Ganakbari, Savar, P.O. Box 3787, Dhaka 1000, Bangladesh aere.org.bd

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First published: 09 December 2014
Citations: 4
Academic Editor: Arkady Serikov

Abstract

EUREKA-2/RR code has been used for SPERT IV reactor benchmark calculations against the experimental results provided by IAEA (International Atomic Energy Agency) obtained for a series of transient tests initiated by step insertion of different magnitudes of positive reactivity with varying degrees of different controlled parameters such as reactor initial power, coolant temperature and coolant flow condition. 20 out of 39 tests that fall under forced convection mode have been considered for the present simulation provided the reactor scram system is disabled. Peak power and peak clad temperature due to transient have been calculated and it was found that although peak clad temperature values agreed, the peak power values seem to underestimate the experimental values. Further study appears to be needed to identify the limitations in modeling or examining the effect of input parameters during modeling to obtain the better simulation results.

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