Core analysis at Paks NPP with a new generation of VERONA.docx

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Core analysis at Paks NPP with a new generation of VERONA.docx

CoreanalysisatPaksNPPwithanewgenerationofVERONA

 

Anewopen-sourcesoftwaredevelopedfornumericalsimulationsusingdiscretemodelingmethods  OriginalResearchArticle

ComputerMethodsinAppliedMechanicsandEngineering

CORBAiswidelyacceptedastheopeninternationalstandardformodellingandbuildingcomprehensivedistributedsystems.Inmostcases,CORBAarchitectshaveadoptedrelationaldatabasesforstorageofpersistentdata.AmongtheissuesthatusuallyfacearchitecturedesignersconsideringhowtocombineCORBAandstandardrelationaldatabasestandardsarefaulttolerance,performance,andtheextensibilityandscalabilityofthesystems.TheresearchteaminvolvedwiththispaperfoundthattheODMGobjectdatabaseconceptisusefultosolvetheissuesencounteredwhenintegratingCORBAandrelationaldatabasestandards.Thereferencearchitecture,whichtheteamdevises,integratesCORBAandrelationaldatabaseswithoutcompromiseonthenecessarytransactionalproperties.TheCORBAstandardobjecttransactionserviceandconcurrencycontrolservicearereused.Theteamalsodevelopanobjectrelationaldatamodellingtool—Latte—thatsupportstheoveralldesignintentionaswellthedevelopmentparadigmsfortheproposedarchitecture.TheimplementationofthesystemisusefultoCORBA,ODMG,andrelationaldatabasearchitectsbecauseitprovidesaunifiedmodellingandprogrammingparadigmcapableofsolvingtheproblemsofmanagingmission-criticaldistributeddata.Thus,wepresentacasestudyofcombiningdifferentinternationalstandardstobuildacomprehensivesystem.

ArticleOutline

1.Introduction

1.1.Hybridobjectrelationaldatamanagementsystemdevelopmentprocess

2.Previousworks

2.1.CORBAobjectservices

2.2.WOO-DBJavabinding

2.3.Distributedobject-baseddatabasearchitecturemodel

2.4.CORBA/OODBintegration

3.Systemmodeldesign

3.1.Three-tiermodel

3.2.Datamodel

3.3.Transactionmodel

3.4.Failuremodel

4.Systemarchitecturedesign

4.1.Systemoverview

4.2.Systemarchitecture

4.2.1.Latte

4.2.2.ROcomponents

4.2.2.1.ROServer

4.2.2.2.RO

4.2.2.3.ROFactory

4.2.2.4.ROManager

4.3.Interactionsoftransactionalprograms

5.Issuesandconstraints

5.1.Criticalissues

5.1.1.ROServerrecovery

5.1.2.Keys

5.1.3.Datamodificationpropagation

5.1.4.Multi-inheritance

5.2.Systemconstraints

5.2.1.Transactions

5.2.2.Workingtogetherwithlegacyapplications

5.3.Systemperformance

5.3.1.Retrieval

5.3.2.Update

5.3.3.Discussiononimprovements

6.Concludingremark—aggregatingstandards

References

 

CSHM:

Web-basedsafetyandhealthmonitoringsystemforconstructionmanagement  OriginalResearchArticle

JournalofSafetyResearch

Thepurposeofthisworkistopresentthedevelopmentofanopen-sourcesoftwarebasedonadiscretedescriptionofmatterappliedtostudythebehaviorofgeomaterials.ThissoftwareusesObjectOrientedProgrammingtechniques,anditsmethodologydesignusesthreedifferentmethods,whicharetheDiscreteElementMethod(DEM)[F.Donzé,S.A.Magnier,Formulationofathree-dimensionalnumericalmodelofbrittlebehavior,Geophys.J.Int.122(1995)790–802,F.Donzé,S.A.Magnier,L.Daudeville,C.Mariotti,Numericalstudyofcompressivebehaviourofconcreteathighstrainrates,J.Engrg.Mech.(1999)1154–1163],theFiniteElementMethod(FEM)[J.Rousseau,E.Frangin,P.Marin,L.Daudeville,Discreteelementmodellingofconcretestructuresandcouplingwithafiniteelementmodel,Comput.Concrete(inprint),S.P.Xiao,T.Belytschko,Abridgingdomainmethodforcouplingcontinuawithmoleculardynamics,Comput.MethodsAppl.Mech.Engrg.193(2004)1645–1669]andtheLatticeGeometricalMethod(LGM)[J.Kozicki,Applicationofdiscretemodelstodescribethefractureprocessinbrittlematerials,Ph.D.thesis,GdańskUniversityofTechnology,2007,J.Kozicki,J.Tejchman,2Dlatticemodelforfractureinbrittlematerials,Arch.Hydro-Engrg.Environ.Mech.53

(2)(2006)71–88,J.Kozicki,J.Tejchman,Effectofaggregatestructureonfractureprocessinconcreteusing2Dlatticemodel,Arch.Mech.59(4–5)(2007)365–384,J.Kozicki,J.Tejchman,Modellingoffractureprocessinconcreteusinganovellatticemodel,Granul.Matter(inprint),doi:

10.1007/s10035-008-0104-4].Thesemethodsareimplementedwithinasingleobject-orientedframeworkinC++usingOOPdesignpatterns.ThebulkoftheoriginalworkconsistedmainlyoffindingcommonobjectswhichwillworkforthesedifferentmodelingmethodswithoutchangingasinglelineoftheC++code.Withthisapproachitispossibletoaddnewnumericalmodelsbyonlyplugging-inthecorrespondingformulas.TheadvantagesoftheresultingYADEframeworkarethefollowing:

(1)genericdesignprovidesgreatflexibilitywhenaddingnewscientificsimulationcode,

(2)numeroussimulationmethodscanbecoupledwithinthesameframeworklikeforexampleDEM/FEMand(3)withtheopen-sourcephilosophy,thecommunityofuserscollaborateandimprovethesoftware.TheYADEframeworkisanewemergingsoftware,whichcanbedownloadedatthewebpage.

ArticleOutline

1.Introduction

2.Overviewofsimulationmethods

2.1.DiscreteElementMethod

2.2.LatticeGeometricalModel

2.3.CouplingtheDiscreteElementMethodwiththeFiniteElementMethod

3.Introducingtheobjectorientedarchitecture

3.1.TheUMLnotation

3.2.Languagechoice

3.3.Genericprogrammingapproach

3.4.Objectorienteddesignpatterns

4.Constructingtheframework

5.Commonobjectsunderlyingscientificsimulation

5.1.Dataclasses

5.2.Engineclasses

5.3.Simulationoverview

6.ApplicationoftheYADEframework

6.1.DiscreteElementMethod

6.2.LatticeGeometricalModel

6.3.CouplingtheDiscreteElementMethodwiththeFiniteElementMethod

7.Conclusions

 

Structuredmodelinggroupsupportsystems:

aproductdesigntheory  OriginalResearchArticle

Information&Management

Structuredmodelingiscriticaltothedesign,development,andimplementationofmanysystemsincludingcomputersoftware,businessprocesses,anddatanetworks.Sincethecreationofstructuredmodelsreliesontheknowledgeofmanyorganizationalstakeholders,groupsoftenaccomplishthistask.Groupsupportsystems(GSS)focusonthesupportofgroupprocessesandwouldappeartobeusefulforstructuredmodeling;however,GSSusuallyonlyprovidetextualordecisionrelatedoutputratherthanthestructuredmodelsneededformanydesignprocesses.Thispaperproposesaclassofsystems,structuredmodelingGSS(smGSS),whichaddssupportforthedevelopmentofstructuredmodelstostandardGSS.Sincepastresearchhasshownthatresearchresultsmaybedifficulttocompareacrossstudieswhenthesystemunderinvestigationisnotwelldefined,thispaperdevelopsaproductdesigntheorythatdefinestherequiredcharacteristicsofandtestabledesignpropositionsforansmGSSasderivedfromexistingtheoryandempiricalinvestigations.

ArticleOutline

1.Introduction

2.Structuredmodelingandcollaboration

3.AnISdesigntheoryapproach

4.AproductdesigntheoryforansmGSS

4.1.Designproductkerneltheories

4.1.1.Group

4.1.2.Task

4.1.3.Context

4.1.4.Technology

4.1.5.Process

4.1.6.Outcomes

4.2.Meta-requirementsforansmGSS

4.2.1.Boundaries

4.2.2.Propositions

4.2.3.Meta-requirements

4.3.Meta-design

4.4.Testabledesignproducthypotheses

5.Conclusion

References

Vitae

 

IntegrationofCORBAandobjectrelationaldatabases  OriginalResearchArticle

ComputerStandards&Interfaces

IPODLAS—Asoftwarearchitectureforcouplingtemporalsimulationsystems,VR,andGIS  OriginalResearchArticle

ISPRSJournalofPhotogrammetryandRemoteSensing

Environmentalprocessesoftenvaryinspaceandtimeandactoverseveralscales.Currentsoftwareapplicationsdealingwithaspectsoftheseprocessesemphasizepropertiesspecifictotheirdomainandtendtoneglectotherissues.Forexample,GISprefersastaticviewandgenerallylackstherepresentationofdynamics,temporalsimulationsystemsemphasizethetemporalcomponentbutignorespacetoagreatextent,andvirtualrealitytendsto“forget”theunderlyingdataandmodels.Inordertoremedythissituationwepresentanapproachthataimstobringtogetherthethreedomains;temporalsimulationsystems,GIS,andvirtualreality,andtofostertheintegrationofparticularfunctionalities.ThispaperconcentratesonconceptsandrequirementsforthedevelopmentofasuitablesoftwarearchitectureusingcasestudiesandusecasesseenfromaGIS-basedperspective.

ArticleOutline

1.Introductionandmotivation

1.1.‘IPODLAS’—couplingTSS,GIS,andVR

1.2.Objectives

2.IssuesofcombinationofGIS,VR,andTSS

2.1.GISfunctionalityused

2.2.Integrationstrategy

2.3.Interoperabilityinitiatives

3.Methodsandmaterials

3.1.Unifiedsoftwaredevelopmentprocess

3.2.Constraintsandenablers

3.2.1.Casestudiesandusecases

3.2.2.Legacysystems

3.2.3.Standards,policies,andlanguages

4.Identifyingtherequiredfunctionality—theIPODLASapproach

4.1.Casestudies

4.2.Usecases

4.3.Listingandclassifyingtherequiredfunctionality

4.4.UsecaseLBMexpert2(LE2)

5.Softwarearchitecture

5.1.Developmentofthesoftwarearchitecture

5.1.1.The‘intelligenttree’

5.1.2.Cross-implementation

5.1.3.Socketcommunication

5.2.Currentsoftwarearchitecture

5.2.1.Dataexchange

5.2.2.GML3—temporalaspects

6.Discussion

6.1.TheIPODLASapproach

6.2.Softwarearchitecture

6.3.CouplingTSS,GIS,andVR

6.4.GML

6.5.Lessonslearned

7.Conclusionandoutlook

Acknowledgements

References

 

Analgorithmicframeworkforconvexmixedintegernonlinearprograms  OriginalResearchA

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