Host: The Japan Society of Mechanical Engineers
Name : The 30th International Conference on Nuclear Engineering (ICONE30)
Date : May 21, 2023 - May 26, 2023
Models using physical computing models and global search algorithms are well used in the nuclear core inverse problems. In the framework of such a problem, the 3D core physics analysis code CPACT and observation data from detector readings are used to infer and renew the model parameters by global optimization methods. In this way, the operating state of the core can be obtained.
However, uncertainties in parameters, inputs, and observation readings have undermined its application value. The objective of this work is to develop a Bayesian framework of core calculation models to estimate and diagnose uncertainties. Besides, taking into account the impact of uncertainty, more convincing objective functions are proposed to evaluate the problem. We test this uncertainty in this way: use the optimization method to directly solve the model parameters that best match under the maximum likelihood estimation; All the methods were tested on the numerical calculation examples of a pressurized water reactor case.
