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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/100/1455

Title: Safety management in NPPs using an evolutionary algorithm technique
Authors: MISHRA, A
PATWARDHAN, A
VERMA, AK
Keywords: optimization
maintenance
Issue Date: 2007
Publisher: ELSEVIER SCIENCE SA
Citation: NUCLEAR ENGINEERING AND DESIGN,237(41609)1445-1451
Abstract: The general goal of safety management in Nuclear Power Plants (NPPs) is to make requirements and activities more risk effective and less costly. The technical specification and maintenance (TS&M) activities in a plant are associated with controlling risk or with satisfying requirements, and are candidates to be evaluated for their resource effectiveness in risk-informed applications. Accordingly, the risk-based analysis of technical specification (RBTS) is being considered in evaluating current TS. The multi-objective optimization of the TS&M requirements of a NPP based on risk and cost, gives the pareto-optimal solutions, from which the utility can pick its decision variables suiting its interest. In this paper, a multi-objective evolutionary algorithm technique has been used to make a trade-off between risk and cost both at the system level and at the plant level for loss of coolant accident (LOCA) and main steam line break (MSLB) as initiating events. (c) 2006 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.nucengdes.2006.10.003
http://dspace.library.iitb.ac.in/xmlui/handle/10054/14720
http://hdl.handle.net/100/1455
ISSN: 0029-5493
Appears in Collections:Proceedings papers

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