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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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Relatedreferenceworkarticles?

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