under construction
This project aims to quantify the uncertainty of the fuel fracture limit under loss-of-coolant accident (LOCA) conditions. With this aim, I develop methodologies for the uncertainty quantification and the uncertainty reduction using Bayesian statistics and machine learning methods.
This project aims to evaluate the effect of fuel fragmentation, relocation, and dispersal on reactor core coolability during LOCAs.