BISON Fuel Fragmentation Relocation and Dispersal (FFRD) Assessment Database for Eventual Use in Bayesian Calibration

Existing light-water reactor (LWR) fuel vendors have been interested in seeking increased discharge burnups of nuclear fuel rods for improved economics for quite a few years.With increased burnups come additional challenges that must be addressed.It has been experimentally observed that average burnups higher than the current regulatory limit of 62 MWd/kgU may undergo fuel fragmentation, relocation, and dispersal (FFRD) during a loss-of-coolant accident (LOCA).Industry must demonstrate approaches to mitigate FFRD.In an effort to support industry, the Nuclear Energy Advanced Modeling and Simulation (NEAMS) program within the U.S. Department of Energy (DOE) has for several years invested in developing multiscale models and creating a validation/assessment database for these models to study the mechanisms driving FFRD.This report provides an update on changes made to the assessment database and new models added to BISON to support the study of fuel rod behavior during FFRD.An effort has been initiated this year to begin adding dedicated inputs to the publicly available Virtual Test Bed (VTB) repository for industry use.A section of this report details the efforts made in this area.NEAMS has recently developed new capabilities in the Multiphysics Object-Oriented Simulation Environment (MOOSE) framework's stochastic tools module for calibration using Bayesian inference.The goal in the future is to use these capabilities to calibrate and identify weaknesses in the existing BISON models for FFRD.The report concludes with a discussion on the models most likely to benefit the most from such calibration.