[2C07-09] PRA Method

3:00 PM - 3:15 PM JST(6:00 AM - 6:15 AM UTC)

[2C08] Improvement of prediction accuracy of the fuel cladding tube fracture during LOCA using Bayesian update based on information criteria

*Shusuke Hamaguchi¹, Takafumi Narukawa¹, Takashi Takata¹ (1. UTokyo)

Keywords:

LOCA,fuel cladding tube,fractuer limit,information criteria,Bayesian update

To ensure reactor safety during a loss-of-coolant accident (LOCA), it is necessary to precisely evaluate the fracture limit of the fuel cladding tube during the LOCA. We propose a method to effectively improve the prediction accuracy of the fracture using Bayesian update with additional data that are obtained based on information criteria.