[2C07-09] PRA Method

[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.