WAVEAcoustic_WAVE声学仿真计算

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1、WAVEAdvancedTrainingWAVEAdvancedTrainingBasicAcousticTraining©Ricardoplc2006IntroductionßOneofWAVE’skeyfeaturesisitsabilitytoaccuratelypredictintakeandexhaustnoise.ßBypredictinggasvelocitiesattheintakeandexhaustorifices,WAVEisabletosupplynoisesourcedatawhichcanbepos

2、tprocessedtogiveapredictedsoundpressurelevel.ßWNOISEemulatesalaboratoryNVHanalysissystem,usingstandardDSPtechniquestoprocessWAVE-generateddatainthesamewayasmeasureddata,allowingacousticproblemstobeidentified.ßWAVEallowsyoutorunafullycoupledsimulationgivingsimultaneo

3、uspredictionofnoiseandperformanceandcanthereforedemonstrateanytradeoffs.ßInteractionsbetweenthesourceandthenoisearecaptured.ßThiscoupledwithouradvanced3DpreprocessorsandsophisticatedacousticpostprocessormeansthatWAVEisunparalleledasanintakeandexhaustnoiseanalysistoo

4、l.Ricardoplc2006ßWAVEcanbeusedtosimulateatransmissionlosstestbench.©RicardoKeyFeaturesßPostprocessing–WNOISEisoneofWAVE’sdedicatedpost-processors.Itiscomprisedofnoiseradiationmodelsandacousticprocessingandanalysistools.Itisusedtosimulatenoisemeasurementexperimentsus

5、ingaWAVEmodeltoprovidethenoisesources.ßTransmissionlosstestbench–TheacousticanalysiscapabilitieswithinWAVEallowformodelingofanacousticpiston(speakerproducingwhitenoise)anddeterminationofthetransmissionlossbetweentwolocations.ßConcentrictuberesonator–Apreprocessingca

6、pabilityallowstheautomaticmodelingofaconcentrictuberesonatorbasedonuser-specifiedgeometricandoperatingparameters.ThisfeaturesignificantlyreducesthetimeandeffortrequiredtoproduceaWAVEmodelofasilencer.Ricardoplc2006©RicardoKeyFeaturesßAdvanced3DModelling–Toobtainhighf

7、requencyresolutionforacousticanalysis,asilencermustbesubdividedintosmallerunits,anddetailsofinternalpipes,bafflesandperforatesadded.Thisisdoneusingtwo-orthree-dimensionalarraysofcomplexY-Junctionstoformameshthatdefineseachdistinctvolumeofthesilencer.TheY-Junctionsar

8、eseparatedby0-lengthducts,whichserveasboundaryelementsbetweentheY-Junctions.OpenpassagesarecreatedusingductswiththesamediameterastheY-Junc