Comparison of Zirconium Redistribution in BISON EBR-II Models Using FIPD and IMIS Databases with Experimental Post Irradiation Examination

Kyle M. Paaren (), Spencer Christian, Luca Capriotti, Assel Aitkaliyeva and Douglas Porter
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Kyle M. Paaren: Idaho National Laboratory, 2525 Fremont Ave, Idaho Falls, ID 83415, USA
Spencer Christian: Idaho National Laboratory, 2525 Fremont Ave, Idaho Falls, ID 83415, USA
Luca Capriotti: Idaho National Laboratory, 2525 Fremont Ave, Idaho Falls, ID 83415, USA
Assel Aitkaliyeva: Idaho National Laboratory, 2525 Fremont Ave, Idaho Falls, ID 83415, USA
Douglas Porter: Idaho National Laboratory, 2525 Fremont Ave, Idaho Falls, ID 83415, USA

Energies, 2023, vol. 16, issue 19, 1-19

Abstract: Metallic fuels have seen increased interest for future sodium fast reactors due to their material properties: high thermal conductivities and advantageous neutronic properties allow for greater fission densities. One drawback to typical metallic fuels is zirconium redistribution, which impacts this advantageous material and its neutronic properties. Unfortunately, the processes behind zirconium migration behavior are understood using first principles, so before these fuels are implemented in future fast reactors, characterization and fuel qualification regimes must be completed. These activities can be supported through the use of robust modeling using the most accurate empirical models currently available to fuel researchers around the world. The tool that allows researchers to model this complex coupled thermo-mechanical behavior and nuclear properties is BISON. Additionally, BISON model parameters need to be compared against PIE measurements. The current work utilizes two fuel pins from EBR-II experiment X441 to optimize various model parameters, including porosity correction factor, thermal conductivity, phase transition temperature, and diffusion coefficient multipliers, before implementing the final model for seven fuel pins with differing characteristics. To properly evaluate the BISON simulations, the results are compared to PIE metallography data for each fuel pin, to ensure the zirconium redistribution is properly reflected in the simulation results. Six out of seven analyzed fuel pins demonstrate good agreement between the metallography images and BISON results, showing alignment of the Zr-rich, Zr-depleted, and moderately Zr-enriched zones at various axial heights along the fuel pins. Further work is needed to refine the model parameters for general pin use.

Keywords: BISON; simulation; finite element methods; EBR-II; automation; metallic fuel; validation; metallography (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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