Prediction of 3D nuclear reactor's operational parameters from 2D fuel lattice design information: A data mining approach
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- 作者：José ; Manuel Cadenasa ; Juan José ; Ortiz-Servinb ; juanjose.ortiz@inin.gob.mx" class="auth_mail" title="E-mail the corresponding author ; David A. Peltac ; José ; -Luis Montes-Tadeob ; Alejandro Castillob ; Raú ; l Perusquí ; ab
- 关键词：BWR ; Reactor simulation ; Data mining
- 刊名：Progress in Nuclear Energy
- 出版年：2016
- 出版时间：August 2016
- 年：2016
- 卷：91
- 期：Complete
- 页码：97-106
- 全文大小：731 K
文摘
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This paper shows a DM application in order to predict 3D core parameters from 2D parameters.
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2D parameters are LPPF, kinf and fuel lattices composition.
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Decision trees were built to predict FLPD, MAPRAT and SDM in a BWR reactor.
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Decision trees can predict these core parameters in 25 s.
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Relative errors of predictions are enough goods and decision trees can be used like auxiliary tools in an optimization process.