Application of artificial neural networks in analysis of CHF experimental data in round tubes

MISCELLANEOUS

Application of artificial neural networks in analysis of CHF experimental data in round tubes

HUANG Yan-Ping，

SHAN Jian-Qiang，

CHEN Bing-De，

LANG Xue-Mei，

JIA Dou-Nan，

WANG Xiao-Jun

Nuclear Science and Techniques

Vol.15, No.4

pp.236-242

Published in print 01 Aug 2004

CLC：TL331

25802

Artificial neural networks (ANNs) are applied successfully to analyze the critical heat flux (CHF) experimental data from some round tubes in this paper. A set of software adopting artificial neural network method for predicting CHF in round tube and a set of CHF database are gotten. Comparing with common CHF correlations and CHF look-up table, ANN method has stronger ability of allow-wrong and nice robustness. The CHF predicting software adopting artificial neural network technology can improve the predicting accuracy in a wider parameter range, and is easier to update and to use. The artificial neural nefwork method used in this paper can be applied to some similar physical problems.

Artificial neural networksCritical heat fluxThermal-hydraulicsReactor engineeringReactor safety

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