DOE OSTI · 2574202
Development of mechanistic, microstructure-informed BISON models for fission product-induced failure mechanisms in advanced nuclear fuels
Abstract
The US continues to prioritize commercial deployment of advanced reactors—particularly those utilizing U-Zr metallic and TRISO particle fuels. Fission product-induced failure mechanisms for these systems include fuel–cladding chemical interaction in metallic fuel rods, which threatens cladding integrity, and Pd penetration in TRISO particles, which degrades SiC layer properties. Empirical models can be applied within the bounds of existing irradiation databases, but their utility is limited when considering new designs or investigating fundamental material behaviors. The Nuclear Energy Advanced Modeling and Simulation Program is therefore developing mechanistic models for these behaviors, which are expected to aid in fuel design, assist in development of failure mitigation strategies, and provide support for qualification and licensing. These efforts leverage multiscale capabilities to capture the microstructural features and processes that govern these behaviors. This talk summarizes past and ongoing efforts to develop and validate these models for the BISON fuel performance code.
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Hirschhorn, Jacob Aaron [Idaho National Laboratory], Bhave, Chaitanya Vivek [Idaho National Laboratory], Aagesen Jr, Larry Kenneth [Idaho National Laboratory] (ORCID:000000034936676X), Swisher, Mathew M [Idaho National Laboratory], Jiang, Chao [Idaho National Laboratory] (ORCID:0000000306106327), Sweet, Ryan Terrence [Idaho National Laboratory] (ORCID:0000000279194623), Beausoleil, Boone [Idaho National Laboratory] (ORCID:0000000238377685), Simon, Pierre-Clement A [Idaho National Laboratory] (ORCID:0000000170832628), Novascone, Stephen R [Idaho National Laboratory] (ORCID:0000000239384326). 2025-04-14. Development of mechanistic, microstructure-informed BISON models for fission product-induced failure mechanisms in advanced nuclear fuels. https://www.osti.gov/biblio/2574202
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