scholarly journals Assessment of the BISON Metallic Fuel Performance Models

2021 ◽  
Author(s):  
Jacob Hirschhorn ◽  
Jeffrey Powers
Keyword(s):  
Metallic Fuel ◽  
Performance Models ◽  
Fuel Performance

A review of TRISO-coated particle nuclear fuel performance models

Rare Metals ◽  
2006 ◽  
Vol 25 (6) ◽  
pp. 337-342 ◽  
Author(s):  
B LIU ◽  
T LIANG ◽  
C TANG
Keyword(s):  
Nuclear Fuel ◽  
Performance Models ◽  
Fuel Performance ◽  
Coated Particle

A review of TRISO fuel performance models

2010 ◽  
Vol 405 (1) ◽  
pp. 74-82 ◽  
Author(s):  
Jeffrey J. Powers ◽  
Brian D. Wirth
Keyword(s):  
Performance Models ◽  
Fuel Performance ◽  
Triso Fuel

Initial demonstration of automated fuel performance modeling with 1977 EBR-II metallic fuel pins using BISON code with FIPD and IMIS databases

2021 ◽  
Vol 382 ◽  
pp. 111393
Author(s):  
Kyle M. Paaren ◽  
Micah Gale ◽  
Matthew J. Kerr ◽  
Pavel Medvedev ◽  
Douglas Porter
Keyword(s):  
Performance Modeling ◽  
Metallic Fuel ◽  
Fuel Performance

scholarly journals Cladding Profilometry Analysis of Experimental Breeder Reactor-II Metallic Fuel Pins with HT9, D9, and SS316 Cladding

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 515
Author(s):  
Kyle M. Paaren ◽  
Nancy Lybeck ◽  
Kun Mo ◽  
Pavel Medvedev ◽  
Douglas Porter
Keyword(s):  
Frictional Contact ◽  
Chemical Interaction ◽  
Fuel Cladding ◽  
Input File ◽  
Metallic Fuel ◽  
Fuel Performance ◽  
Post Irradiation ◽  
Fuel Pin ◽  
Fuel Models ◽  
Reactor Materials

BISON finite element method fuel performance simulations were conducted using an existing automated process that couples the Fuels Irradiation & Physics Database (FIPD) and the Integral Fast Reactor Materials Information System database by writing input files and comparing the BISON output to post-irradiation fuel pin profilometry measurements contained within the databases. The importance of this work is to demonstrate the ability to benchmark fuel performance metallic fuel models within BISON using Experimental Breeder Reactor-II fuel pin data for a number of similar pins, while building off previous modeling efforts. Changes to the generic BISON input file include implementing pin specific axial power and flux profiles, pin specific fluences, frictional contact, and irradiation-induced volumetric swelling models for cladding. A statistical analysis of irradiation-induced volumetric swelling models for HT9, D9, and SS316 was performed for experiments X421/X421A, X441/X441A, and X486. Between these three experiments, there were 174 post-irradiation examination (PIE) profilometries used for validating the swelling models presented using a standard error of the estimate (SEE) method. Implementation of the volumetric swelling models for D9 and SS316 claddings was found to have a significant impact on the BISON profilometry simulated, where HT9 clad pins had an insignificant change due to low fluence values. BISON profilometry simulated for HT9, D9, and SS316 fuel pins agreed with PIE profilometry measurements, with assembly SEE values being 4.4 × 10−3 for X421A, 2.0 × 10−3 for X441A, and 2.8 × 10−3 for X486. D9 clad pins in X421/X421A had the highest SEE values, which is due to the BISON simulated profilometry being shifted axially. While this work accomplished its purpose to demonstrate the modeling of multiple fuel pins from the databases to help validate models, the results suggest that the continued development of metallic fuel models is necessary for qualifying new metallic fuel systems to better capture some physical performance phenomena, such as the hot pressing of U-Pu-Zr and the fuel cladding chemical interaction.

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