Development of Monte Carlo automatic modeling for TRIPOLI-ITERapplication

Development of Monte Carlo automatic modeling for TRIPOLI-ITERapplication

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时间:2019-08-10

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1、ARTICLEINPRESSNuclearInstrumentsandMethodsinPhysicsResearchA605(2009)384–387ContentslistsavailableatScienceDirectNuclearInstrumentsandMethodsinPhysicsResearchAjournalhomepage:www.elsevier.com/locate/nimaDevelopmentofMonteCarloautomaticmodelingfunctionsofMCAMforTR

2、IPOLI-ITERapplicationa,b,ca,ba,ba,ba,bL.Lu,Y.K.Lee,J.J.Zhang,Y.Li,Q.Zeng,Y.C.WuaInstituteofPlasmaPhysics,ChineseAcademyofSciences,Hefei,Anhui230031,ChinabSchoolofNuclearScienceandTechnology,UniversityofScienceandTechnologyofChina,Hefei,Anhui230027,ChinacCommissa

3、riata`l’EnergieAtomique,CEA-Saclay,DEN/DANS/DM2S/SERMA,91191Gif-sur-YvetteCedex,FrancearticleinfoabstractArticlehistory:TRIPOLIisaMonteCarloparticletransportcodesimulatingthethree-dimensionaltransportofneutronsReceived18February2009andphotonswiththeMonteCarlometh

4、od,anditcanbeusedformanyapplicationstonucleardevicesReceivedinrevisedformwithcomplexgeometries;however,modelingofacomplexgeometryisatime-consuminganderror-18March2009pronetask.TherecentlydevelopedfunctionsofMonteCarloAutomaticModeling(MCAM)system,Accepted23March2

5、009whichisaninterfacecodethatcanfacilitateMonteCarlomodelingbyemployingtheCADtechnology,Availableonline5April2009haveimplementedthebidirectionalconversionbetweentheCADmodelandtheTRIPOLIcomputationKeywords:model.Inthisstudy,differentgeometricrepresentationsofCADsy

6、stemandTRIPOLIcodeandtheMonteCarloparticletransportsimulationmethodologyofbidirectionalconversionbetweenthemwereintroduced.ATRIPOLIinputfileofMCAMInternationalThermonuclearExperimentalReactor(ITER)benchmarkmodel,whichwasdistributedtoTRIPOLIvalidatetheMonteCarlomod

7、elingtools,wascreatedandappliedtosimulateD–TfusionneutronsourceITERsamplingandcalculatefirstwallloading.ThentheresultswerecomparedwiththatofMonteCarloN-Particle(MCNP)andthegoodagreementspresentthefeasibilityandvalidity.&2009ElsevierB.V.Allrightsreserved.1.Introduc

8、tioncomplexsystemsingreatdetail.AneffectivewaytoenhancetheMCmodelingcapabilityistodevelopaninterfacecodethatcanTheMonteCarlo(MC)stochasticmethodisawidelyusedtr

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