Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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ASUSD nuclear data sensitivity and uncertainty program package: Validation on fusion and fission benchmark experiments

  • Kos, Bor (Reactor Physics Division, Jozef Stefan Institute) ;
  • Cufar, Aljaz (Reactor Physics Division, Jozef Stefan Institute) ;
  • Kodeli, Ivan A. (Reactor Physics Division, Jozef Stefan Institute)
  • Received : 2020.10.14
  • Accepted : 2021.01.30
  • Published : 2021.07.25
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Abstract

Nuclear data (ND) sensitivity and uncertainty (S/U) quantification in shielding applications is performed using deterministic and probabilistic approaches. In this paper the validation of the newly developed deterministic program package ASUSD (ADVANTG + SUSD3D) is presented. ASUSD was developed with the aim of automating the process of ND S/U while retaining the computational efficiency of the deterministic approach to ND S/U analysis. The paper includes a detailed description of each of the programs contained within ASUSD, the computational workflow and validation results. ASUSD was validated on two shielding benchmark experiments from the Shielding Integral Benchmark Archive and Database (SINBAD) - the fission relevant ASPIS Iron 88 experiment and the fusion relevant Frascati Neutron Generator (FNG) Helium Cooled Pebble Bed (HCPB) Test Blanket Module (TBM) mock-up experiment. The validation process was performed in two stages. Firstly, the Denovo discrete ordinates transport solver was validated as a standalone solver. Secondly, the ASUSD program package as a whole was validated as a ND S/U analysis tool. Both stages of the validation process yielded excellent results, with a maximum difference of 17% in final uncertainties due to ND between ASUSD and the stochastic ND S/U approach. Based on these results, ASUSD has proven to be a user friendly and computationally efficient tool for deterministic ND S/U analysis of shielding geometries.

Keywords

Acknowledgement

The authors acknowledge the financial support from the Slovenian Research Agency (research core funding No. P2-0073 and project for training young researchers No. 1000-15-0106). This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under grant agreement No 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission. The authors would specifically like to thank Scott W. Mosher (ORNL/LANL) and Charles R. Daily (ORNL) for their help and insight in the process of developing ASUSD.

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