@article{c01c3576138945e994a3ad51ba160515,
title = "Verification of Bison fission product species conservation under TRISO reactor conditions",
abstract = "When assessing the reliability and predictive capabilities of a simulation tool, code verification is used to ensure that the implemented numerical algorithm is a faithful representation of its underlying mathematical model, including partial differential or integral equations, initial and boundary conditions, and auxiliary relationships. During this process, numerical results in a discrete solution are compared to the analytical solution of the mathematical model. In this paper, the code verification process is applied to one-dimensional spatiotemporal problems that exercise partial differential equation governing the conservation of fission product species (or mass diffusion). Numerical experiments were performed in the Bison fuel performance code to evaluate its predictive capability under various TRISO reactor conditions such as base irradiation and safety heating test conditions for either short- or long-lived fission product species, as well as a case concerning evaporation from the outer surface of a particle. The code predictions were compared with the expected exact results obtained from the analytical expressions, and the fact that they demonstrate the correct analytical behavior provides strong evidence of proper numerical algorithm implementation.",
keywords = "Bison, MOOSE, TRISO, Verification, mass diffusion",
author = "Aysenur Toptan and Wen Jiang and Hales, {Jason D.} and Spencer, {Benjamin W.} and Stephen Novascone",
note = "Funding Information: This work was funded by the U.S. Department of Energy through Kairos Power LLC-led iFOA project and the U.S. Department of Energy's Nuclear Energy Advanced Modeling and Simulation program (NEAMS). This manuscript was authored by Battelle Energy Alliance, LLC, under contract no. DE-AC07-05ID14517 with the U.S. Department of Energy. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for U.S. Government purposes. Funding Information: This work was funded by the U.S. Department of Energy through Kairos Power LLC-led iFOA project and the U.S. Department of Energy's Nuclear Energy Advanced Modeling and Simulation program (NEAMS). This manuscript was authored by Battelle Energy Alliance, LLC, under contract no. DE-AC07-05ID14517 with the U.S. Department of Energy. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for U.S. Government purposes. Publisher Copyright: {\textcopyright} 2022",
year = "2023",
month = jan,
doi = "10.1016/j.jnucmat.2022.154105",
language = "English",
volume = "573",
journal = "Journal of Nuclear Materials",
issn = "0022-3115",
publisher = "Elsevier B.V.",
}