Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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A reduced order model for fission gas diffusion in columnar grains

  • D. Pizzocri (Politecnico di Milano, Department of Energy, Nuclear Engineering Division) ;
  • M. Di Gennaro (Politecnico di Milano, Department of Energy, Nuclear Engineering Division) ;
  • T. Barani (Politecnico di Milano, Department of Energy, Nuclear Engineering Division) ;
  • F.A.B. Silva (Eindhoven University of Technology, Department of Mathematics and Computer Science, Centre for Analysis, Scientific Computing and Applications) ;
  • G. Zullo (Politecnico di Milano, Department of Energy, Nuclear Engineering Division) ;
  • S. Lorenzi (Politecnico di Milano, Department of Energy, Nuclear Engineering Division) ;
  • A. Cammi (Politecnico di Milano, Department of Energy, Nuclear Engineering Division)
  • Received : 2023.01.24
  • Accepted : 2023.07.09
  • Published : 2023.11.25
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Abstract

In fast reactors, restructuring of the fuel micro-structure driven by high temperature and high temperature gradient can cause the formation of columnar grains. The non-spheroidal shape and the non-uniform temperature field in such columnar grains implies that standard models for fission gas diffusion can not be applied. To tackle this issue, we present a reduced order model for the fission gas diffusion process which is applicable in different geometries and with non-uniform temperature fields, maintaining a computational requirement in line with its application in fuel performance codes. This innovative application of reduced order models as meso-scale tools within fuel performance codes represents a first-of-a-kind achievement that can be extended beyond fission gas behaviour.

Keywords

Acknowledgement

This research activity has received funding from the Euratom research and training programme 2017-2021 through the INSPYRE Project under grant agreement No.754329 and from the Euratom research and training programme 2020-2024 through the PATRICIA project under grant agreement No.945077. The authors are grateful to A.G. Carloni.

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