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Prediction of Golden Time Using SVM for Recovering SIS in Severe Post-LOCA Circumstances

Authors:
Man Gyun Na
Kwae Hwan Yoo
Dong Yeong Kim
Ju Hyun Back

Keywords: Golden time, Support vector machine, Loss of coolant accident, Core uncovery, Reactor vessel failure

Abstract:
After the Fukushima accident, the nuclear power plant (NPP) accident that occurred as a result of the East Japan Great Earthquake, the safety problem of NPPs has emerged as a global concern. As a result, many countries using nuclear energy are conducting research to improve the safety of NPPs. In this study, we predicted the golden time of safety injection system (SIS) recovery for accomplishing the reactor cold shutdown and preventing reactor vessel (RV) failure. The support vector machine (SVM) was used to predict the golden time for the SIS recovery in loss-of-coolant accident (LOCA) circumstances. If the golden time of SIS for accident recovery is predicted, the core will not be exposed through appropriate action. Also, the RV failure will be prevented by the cooling water injection even if the reactor core is exposed. These various golden time data are thought to be very useful to quickly deal with the actual accident.

Pages: 118 to 123

Copyright: Copyright (c) IARIA, 2015

Publication date: October 11, 2015

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-437-4

Location: St. Julians, Malta

Dates: from October 11, 2015 to October 16, 2015