About this Abstract |
| Meeting |
MS&T25: Materials Science & Technology
|
| Symposium
|
Advanced Characterization of Materials for Nuclear, Radiation, and Extreme Environments VI
|
| Presentation Title |
Development, Validation, and Uncertainty Quantification of a BISON Model for Pd Penetration in TRISO Particle Fuels |
| Author(s) |
Chaitanya V. Bhave, Jacob Hirschhorn, Som LakshmiNarasimha Dhulipala, Mathew Swisher, Ryan Sweet |
| On-Site Speaker (Planned) |
Chaitanya V. Bhave |
| Abstract Scope |
TRISO particle fuels use SiC as the main barrier against metallic fission product (FP) release. Pd penetration weakens the SiC layer, increasing stress and degrading integrity, which threatens the containment of radioactive FPs. Traditional temperature-dependent correlations for predicting Pd penetration rely on experimental data with significant scatter due to varying conditions like burnup, SiC microstructure, and irradiation times. This variability complicates fuel qualification and licensing for reactors with different operating conditions. A new mechanistic reduced order model is developed to predict Pd penetration using insights from atomistic and mesoscale modeling. This model is validated against historical data, and Bayesian uncertainty quantification is used to reduce the model inadequacy of the ROM. The model is implemented in the Multiphysics Object Oriented Simulation Environment (MOOSE) within the BISON engineering scale performance code. The developed models will support the utilization of BISON in fuel performance modeling of TRISO fuels for advanced reactors. |