[2J06-09] uncertainty evaluation

[2J09] Development of a prediction model for modeling approximation error in the severe accident condition with a surrogate model

*Tomomi Hanai¹, Akio Yamamoto¹, Tomohiro Endo¹, Kento Yamamoto², Yasunori Ohoka², Hiroaki Nagano² (1. Nagoya Univ., 2. Nuclear Fuel Industries, Ltd.)

Keywords:Principal component analysis, Kriging, Modeling approximation error, Surrogate model, High void, Severe accident condition

The purpose of this study is to evaluate modeling approximation error of neutronics analyses in the severe accident condition with a high void fraction. Therefore, we developed the method to create the surrogate model for prediction of modeling approximation error with PCA and Kriging.