A surrogate machine learning model for advanced gas-cooled reactor graphite core safety analysis

H. Rhys Jones,Tingting Mu, Dzifa Kudawoo,Gavin Brown,Philippe Martinuzzi, Neil McLachlan

Nuclear Engineering and Design（2022）

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摘要

•A machine learning model was developed to predict seismic core displacements from crack configurations for the advanced gas-cooled reactor.•The model was trained on a dataset from software which simulates a severe earthquake.•The aim was to increase the computational efficiency of data generation.

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关键词

Nuclear,Machine learning,Graphite,Advanced gas-cooled reactor,Data science,Data analysis,Surrogate model,Convolutional neural network,Regression,Supervised learning,Shaker table

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