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HAN Lang, RAN Xu, SHAN Jian-qiang, HUANG Yan-ping, CHEN Bing-de, ZHU Ji-zhou. Application of Artificial Neural Network in Bundle Critical Heat Flux Prediction[J]. Atomic Energy Science and Technology, 2006, 40(3): 257-261. DOI: 10.7538/yzk.2006.40.03.0257
Citation: HAN Lang, RAN Xu, SHAN Jian-qiang, HUANG Yan-ping, CHEN Bing-de, ZHU Ji-zhou. Application of Artificial Neural Network in Bundle Critical Heat Flux Prediction[J]. Atomic Energy Science and Technology, 2006, 40(3): 257-261. DOI: 10.7538/yzk.2006.40.03.0257
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Application of Artificial Neural Network in Bundle Critical Heat Flux Prediction

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  • A bundle critical heat flux(CHF) database based on subchannel local condition is obtained by analyzing existing bundle experimental database with COBRA-Ⅳcode. Artificial neural network is then applied to train the database and a bundle CHF prediction model is finally obtained. The prediction accuracy of the obtained model is much better than that from general empiric formula, and the root-mean-square of predicated value is 5.63%.
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