fluent内部培训-湍流模型

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1、PresenterNameStefanoOrsinoCaseStudiesonUsingthePresenterTitleTurbulenceModelsPresentationTitleJune9,2005JuneXX,20051Motivation°HowdoIchoosewhichturbulencemodelandnearwallmodelingapproachtouseforagivenapplication?°Understandingofhowturbulencemodelingissuesaffectturbulencemodelselectionandperformance

2、°Observationandcomparisonofbehaviorofturbulencemodelsforflowsinsimilarapplications°Resultswillbepresentedfromavarietyofflowstohelpwiththispoint2CourseObjectives°Understandfactorsaffectingturbulencemodelselection°Understandwhyturbulencemodelingisnecessary°Understandreasonsfordifferenceintheperforman

3、ceofvariousturbulencemodels°ReviewturbulencemodelsinFluent6°Compareperformanceofturbulencemodels°Whichmodelsarelikelytobeaccurateinaparticularflow°Howfactorsbesidestheturbulencemodelmayaffectaccuracy3Outline°TurbulenceModelingOverview°FactorsAffectingTurbulenceModelSelection°CharacteristicsofTurbul

4、entFlows°ModelingApproaches°RANSModelsandTheory°LES/DES°NearWallModeling°TurbulenceModelsinFLUENT°CaseStudies°Flowsoflowtomoderatecomplexity°Flowsofincreasingcomplexity4FactorsAffectingTurbulenceModelSelectionFlowComputationalPhysicsResourcesTurbulenceModel&ComputationalNear-WallTreatmentGridTurnar

5、oundAccuracyTimeRequiredConstraints°Manyfactorsmustbeconsidered.Tomakethebestchoicerequiresanunderstandingoftheavailableoptions°Thiscoursefocusesprimarilyonflowphysicsandaccuracy5CharacteristicsofTurbulentFlows°Unsteady,irregular(aperiodic)motioninwhichtransportedquantities(mass,momentum,scalarspec

6、ies)fluctuateintimeandspace°Identifiableswirlingpatternscharacterizeturbulenteddies.°Enhancedmixing(matter,momentum,energy,etc.)results°Fluidpropertiesandvelocityexhibitrandomvariations°Statisticalaveragingresultsinaccountable,turbulencerelatedtransportmechanisms.°ThischaracteristicallowsforTurbule

7、nceModeling.°Containsawiderangeofturbulenteddysizes(scalesspectrum).°Thesize/velocityoflargeeddiesisontheorderofmeanflow.°Largeeddiesderiveenergyfromthemeanflow°Energyistransferredfromlargereddiestosmallere