The application of portfolio selection to fuel channel inspection in advanced gas-cooled reactors

•The operation of advanced gas-cooled nuclear reactors depends on core inspections.•Information from fuel channel inspections must be optimised.•This is a portfolio selection problem with a large number of possible solutions.•A genetic algorithm is used in the CHANSELA software.•The use of CHANSELA...

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Veröffentlicht in:	Nuclear engineering and design 2018-03, Vol.328, p.145-153
Hauptverfasser:	Watson, Claire E., Robinson, Peter C., Burrow, Jenny F., Maul, Philip R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Advanced gas cooled reactors Channels Cooling Fuel channel inspection Gas flow Genetic algorithms Graphite Inspection Nuclear fuels Nuclear reactors Offspring Portfolio analysis Portfolios Reactors Shape optimization Solution space
Online-Zugang:	Volltext
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