Title of article :
DevelopmentofasupportingtoolforoptimalfuelmanagementinresearchreactorsusingartificialneuralnetworksOriginalResearchArticle
Author/Authors :
HakimMazrou، نويسنده , , MohamedHamadouche، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
Thepresentworkinvestigatesanappropriatewaytosolvetheproblemofoptimizingfuelmanagementinresearchreactors.Acomputerprogramhasbeendeveloped,toautomatethisprocedure.Theprogramsuggestsanoptimalcoreconfiguration,whichsatisfiestoestablishedsafetyconstraints.Thesuggestedsolutionwasbasedupontheuseofcoupledmethodsinwhichastochastictechnique,simulatedannealing,andanadaptiveback-propagationneuralnetworkareconnectedtoeachother.
Anobjectivefunctionwasdevelopedbasedontwoperformanceparameters:cyclelength,whichcanbedeterminedthroughtheevaluationoftheeffectivemultiplicationfactorKeffandpowerpeakingfactorPmax.ThesystemusesoptimizationofthesetwoparameterstofindsconfigurationsinwhichKeffismaximized,whetherapenaltyfunctionisappliedtolimitthevalueofPmaxwhichshouldbelowerthantheonegivenintheinitialconfiguration.
Aseriesoftestshavebeenperformedusingamodifiedcoreconfigurationofthebenchmark10MWIAEALEU(lowenricheduranium)researchreactorandtheresultachievedistheoptimumconfigurationofthestudiedcore.
Journal title :
Nuclear Engineering and Design Eslah
Journal title :
Nuclear Engineering and Design Eslah