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2.1.Generalguidelines
2.2.RequirementsforanITER-relevantMHDcontrol
2.3.SteeringanglesneededforO¨
CXconversion
3.Launchingmirrorsdesign
3.1.Mirrorposition
3.2.Mirrorshape
4.Internalopticsandzooming
5.Materialsandcoolingforthemirrors
6.Conclusions
References
Purchase
148RadiationshieldanalysesinsupportoftheFSdesignfortheITERECRHlauncher?
?
OriginalResearchArticle
FusionEngineeringandDesign,Volume82,Issues5-14,October2007,Pages736-743
A.Serikov,U.Fischer,R.Heidinger,M.A.Henderson,P.Spaeh,H.Tsige-Tamirat
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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences
Abstract
Thispaperisdevotedtotheradiationshieldanalysesforthefrontsteering(FS)designoftheelectroncyclotronresonanceheating(ECRH)launcherinstalledintheITERupperport.Theneutronfluxes,nuclearheatdensity,heliumproduction,andneutrondisplacementsratehavebeencalculatedbyMonteCarloN-Particle(MCNP)transportcode.Three-dimensionalMCNPmodelsoftheFSECRHlauncherhavebeenproducedwithhighaccuracydirectlyfromtheCADgeometrymodelsbymeansoftheMcCadinterfaceprogramme.Ashieldinganalysishasbeenperformedtoestimatethematerialcompositionandoptimumlengthrequiredforthelauncher'
sinternalshield.NeutronstreamingcalculationshavebeendoneusingtheMCNPpointdetectorsmethod.Variancereductionsinnuclearresponsesofparticlestrack-lengthestimationswereachievedbytheoptimizedweightwindows,particlessplitting,andRussianroulettetechniques.NucleardesignparametersoftheFSECRHlauncherhavebeenevaluatedbytheneutronicsanalyseswithdedicatedcomputationalprocedures.TheanalysesshowthatsafetyissuesandradiationshieldingrequirementsintheFSdesignarefullysatisfiedtoradiationdesignlimitsspecifiedforITERproject.
2.OutlineoftheFSlauncherdesign
3.Computationalapproach
4.ResultsfortheblanketshieldmoduleoftheFSlauncher
5.ResultsfortheFSlauncherinternalshield
Acknowledgements
149ProgressofITERequatorialelectroncyclotronlauncherdesignforphysicsoptimizationandtowardfinaldesign?
FusionEngineeringandDesign,InPress,CorrectedProof,Availableonline4March2011
K.Takahashi,K.Kajiwara,Y.Okazaki,Y.Oda,K.Sakamoto,T.Omori,M.Henderson
Thedesignoftheequatorialelectroncyclotron(EC)launcherhasadvancedtowardamorereliableandmanufacturablefinaldesign.Themodificationtoquasi-opticallayoutofthemillimeterwavetransmissionlineleadstothelauncherdesignbeingreliableandmorerealistictowardthefinaldesignandthecostreduction.ItisproposedthatoneofthreebeamrowsofthelauncherisflippedsothattheECpowerenablestocontributethecounter-ECcurrentdrivebasedontheITERphysicsrequirement.Inaddition,apoloidalbeamtiltangleof5¡
ã
hasbeenintroducedinthetopandbottombeamrowsothatallbeamscanaccessfromonaxistonearmid-radius.ThesedesignmodificationsrendertheECsystemmoreflexibletoadapttheneedsofadvancedITERphysicsexperiments.Itispreliminarilyestimatedthatthenuclearshieldingcapabilityofthepresentmodifieddesignsatisfiestheneutronfluxcriterion,buttheshutdowndoserateof¦
Ã
-rayisslightlyhigherthanthecriterion.
2.Millimeterwavedesignmodification
3.Designperformanceofnuclearshielding
4.Conclusion
150Fleetdeployment,networkdesignandhublocationoflinershippingcompanies?
TransportationResearchPartE:
LogisticsandTransportationReview,Volume47,Issue6,November2011,Pages947-964
ShahinGelareh,DavidPisinger
Amixedintegerlinearprogrammingformulationisproposedforthesimultaneousdesignofnetworkandfleetdeploymentofadeep-sealinerserviceprovider.Theunderlyingnetworkdesignproblemisbasedona4-index(5-indexbyconsideringcapacitytype)formulationofthehublocationproblemwhichareknownfortheirtightness.Thedemandiselasticinthesensethattheserviceprovidercanacceptanyfractionoftheorigin¨
Cdestinationdemand.Wethenproposeaprimaldecompositionmethodtosolveinstancesoftheproblemtooptimality.Numericalresultsconfirmsuperiorityofourapproachincomparisonwithageneral-purposemixedintegerprogrammingsolver.
1.Introduction
1.1.Networkdesign
1.2.Fleetdeploymentproblem
1.3.Hublocationproblem
1.4.Objectiveandcontribution
2.Problemstatement
3.Mathematicalmodel
3.1.Parameters
3.2.Decisionvariables
3.3.Formulation
4.Solutionmethod
4.1.Masterproblem
4.2.Branchingrulesandpreprocessing
4.2.1.Explicitconstraintbranching
4.2.2.Preprocessing
4.2.3.Tighterbenderscuts
4.2.4.Symmetry
5.Computationalresults
6.Summary,conclusionandoutlooktofuturework
Researchhighlights
Anovelmathematicalmodelforthesimultaneousdesignofnetworkandfleetdeployment.?
Thedemandiselastic.?
Asophisticatedexactdecompositionalgorithm.
151Modelingandsimulationfordamageanalysisofintelligent,self-reconfigurableshipfluidsystemsinearlydesignphase?
SimulationModellingPracticeandTheory,Volume19,Issue9,October2011,Pages1983-2006
KyungjinMoon,DimitriN.Mavris
Thispaperpursuesamodelingandsimulation(M&
S)solutionforperformingarigorousdamageanalysisintheconceptualorpreliminarydesignofanintelligent,self-reconfigurableshipfluidsystem.Asenablerstothesolution,twoessentialelementswereidentifiedintheformulation.Thefirstoneisthegraph-basedtopologicalmodelingmethodwhichwillbeemployedforrapidmodelreconstructionanddamagemodeling,andthesecondoneistherecurrentneuralnetwork-based,component-levelsurrogatemodelingmethodwhichwillbeusedtoimprovetheaffordabilityandefficiencyoftheM&
Scomputations.Theintegrationofthesetwomethodscandelivercomputationallyefficient,flexible,andautomation-friendlyM&
Swhichwillcreateanenvironmentforamorerigorousdamageanalysis.Finally,ademonstrationofthedamageanalysisasitisappliedtoanotionalshipfluidsystemisprovided,withadescriptionofthebenefitsofthisapproach.
1.1.Background
1.2.Researchgoalandscope
1.3.OverviewofM&
Sapproach
2.Graph-basedtopologicalmodeling
2.1.Definitionofedgesandnodesandtheirtypes
2.2.Topologicallayoutvs.geometriclayout
2.3.Connectivitymodelingusingincidencematrix
3.Neuralnetwork-basedsurrogatemodeling
3.1.RNNsurrogatemodelwithblockstructure
3.2.Designofregressorvector
3.3.Trainingsurrogatemodel
3.3.1.Designofexperiments(DOE)fordynamicsystemsimulation
3.3.2.Computerexperimentanddataextraction
3.3.3.Training,testing,andlaunchingNNsurrogatemodel
4.Damagemodeling
4.1.Damagebubble
4.2.Referencedamagecontrolmodel
4.3.Automaticgenerationofreferencedamagecontrolmodel
4.3.1.GenerateAcetheincidencematrixofcontroller-attachededges
4.3.2.GeneratetheedgeadjacencymatrixXceusingAce
4.3.3.Generatecontrollerobjectsandidentifytheneighborslistsandthelocaladjacencymatricesofthem
5.Modelintegrationandsimulation
5.1.Modelset-up
5.2.SimulationprocessandJacobiancomputation
6.M&
Sexample
6.1.Briefintroductionofchilled-watermodelofnotionalship
6.2.Graph-basedrepresentation
6.3.Generationofcomponentsurrogatemodels
6.4.Simulationsettingsandresults
6.4.1.Open-loopmodelverification
6.4.2.Damageanalysis
7.Concludingremarks
Highlights
Amodelingandsimulation-baseddamageanalysisforthecoolingflu