Modeling fission product diffusion in TRISO fuel particles with BISON

•BISON is now capable of computing diffusion of silver, cesium, and strontium.•BISON converges to the exact solution at the expect rate for test problems.•BISON results agree well with IAEA CRP-6 benchmark data.•BISON results agree well with PARFUME predictions of AGR-1 data. The diffusion of fissio...

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Bibliographic Details
Published in:Journal of nuclear materials 2021-05, Vol.548 (C), p.152840, Article 152840
Main Authors: Hales, Jason D., Jiang, Wen, Toptan, Aysenur, Gamble, Kyle A.
Format: Article
Language:English
Subjects:
AGR-1
BISON
Buffalo
Carbon
Diffusion
Diffusion rate
Finite element method
Fission products
Fuels
Isotropic material
Mathematical models
Mesh generation
Silicon carbide
Simulation
Software
Software development tools
Temperature dependence
Temperature distribution
Temperature requirements
TRISO fuel
Validation
Verification
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Summary:•BISON is now capable of computing diffusion of silver, cesium, and strontium.•BISON converges to the exact solution at the expect rate for test problems.•BISON results agree well with IAEA CRP-6 benchmark data.•BISON results agree well with PARFUME predictions of AGR-1 data. The diffusion of fission products in intact TRISO particles depends on particle geometry, fission product source rates, time, temperature, and temperature-dependent diffusion coefficients. Simulating this diffusion process requires models for source rates and diffusion coefficients, plus a computation of the temperature field if not prescribed. In addition, the simulation quality depends on the discretization of the geometry, appropriate time stepping, and the accuracy of the solution method. In this paper, we explore the simulation of fission product diffusion in TRISO fuel particles using the finite element method via the fuel performance code BISON. Recent material model development has occurred in BISON for each material present in tri-structural isotropic (TRISO) fuel particles: the buffer, inner pyrolytic carbon, silicon carbide, and outer pyrolytic carbon layers, as well as the fuel kernel. Also, new mesh generation and fission product release fraction capabilities have been added. Diffusion capabilities are shown to converge to the correct solution via formal verification tests. A large number of code benchmarking problems are also given, with good results, showing that BISON’s computed release fractions closely match those of other software tools. Finally, a significant validation effort is detailed in which fission product release, measured as part of the AGR-1 capsule experiments, is compared to BISON outputs. BISON outputs compare favorably to the experimental data and to PARFUME results.
ISSN:0022-3115
1873-4820
DOI:10.1016/j.jnucmat.2021.152840