2017 Fall Meeting

Presentation information

Oral presentation

III. Fission Energy Engineering » 307-1 Computational Science and Engineering

[1G09-12] Seismic and Fuel Analysis

Wed. Sep 13, 2017 2:45 PM - 3:50 PM Room G (C213 - C Block)

Chair:Akemi Nishida (JAEA)

3:30 PM - 3:45 PM

[1G12] Study on Fuel Loading Pattern Intuitive Generation Method by using Deep Learning

*KAZUKI ISHITANI1 (1. Nuclear Engineering and Services Company)

Keywords:fuel loading pattern optimization, deep learning, neural network, reload core design

On reload core design, engineer have to find loading pattern(LP) satisfying many of design constraints within a period. In addition, loading fuels should be selected.
Deep Learning technique were proposed to generate LP instantaneously without any try and error to find out worthwhile fuel combination to execute powerful but time consuming optimization tools. Optimized LPs generated by using an ordinary tool were used as training data for Deep Neural Network.