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Influence of nuclear data library on neutronics benchmark of China experimental fast reactor start-up tests

  • Guo, Hui (School of Nuclear Science and Engineering, Shanghai Jiao Tong University) ;
  • Jin, Xin (School of Nuclear Science and Engineering, Shanghai Jiao Tong University) ;
  • Huo, Xingkai (China Institute of Atomic Energy (CIAE)) ;
  • Gu, Hanyang (School of Nuclear Science and Engineering, Shanghai Jiao Tong University) ;
  • Wu, Haicheng (China Institute of Atomic Energy (CIAE))
  • Received : 2021.11.09
  • Accepted : 2022.05.20
  • Published : 2022.10.25

Abstract

Nuclear data is the basis of reactor physics analysis. This paper aim at studying the influence of major evaluated nuclear data libraries, CENDL-3.2, ENDF/B-VIII.0, JEFF-3.3, and JENDL-4.0u, on the neutronics modelling of CEFR start-up tests. Results show these four libraries have a good performance and consistency in the modelling CEFR start-up tests. The JEFF-3.3 results exhibit only an 8 pcm keff difference with the measurement. The difference in criticality is decomposed by nuclide, which shows the large overestimation of CENDL-3.2 is mainly from the cross-section of 52Cr. Except for few cases, the calculation results are within 1σ of measurement uncertainty in control rod worth, sodium void reactivity, temperature reactivity, and subassembly swap reactivity. In the evaluation of axial and radial reaction distribution, there are about 65% of relative errors that are less than 5% and 82% of relative errors that are less than 10%.

Keywords

Acknowledgement

This study is sponsored by National Natural Science Foundation of China (No. 12105170) and Shanghai Sailing Program (No. 20YF1420700). The computations in this paper were run on the π 2.0 cluster supported by the Center for High-Performance Computing at Shanghai Jiao Tong University.The data and information presented in the paper are part of the IAEA coordinated research project on ''Neutronics Benchmark of CEFR Start-Up Tests (IAEA CRP-I31032)".

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