Assessment of synthetic winds through spectralmodeling and validation using FAST合成风地光谱评估 快速建模与验证.pdf

《Assessment of synthetic winds through spectralmodeling and validation using FAST合成风地光谱评估 快速建模与验证.pdf》由会员上传分享，免费在线阅读，更多相关内容在教育资源-天天文库。

1、JournalofPhysics:ConferenceSeriesPAPER•OPENACCESSRelatedcontent-TheALICESoftwareReleaseValidationAssessmentofsyntheticwindsthroughspectralclusterDBerzanoandMKrzewickimodelingandvalidationusingFAST-TheGeant4physicsvalidationrepositoryHWenzel,JYarbaand

2、ADottiTocitethisarticle:AChouguleetal2016J.Phys.:Conf.Ser.753042011-ExperimentalValidationforHotStampingProcessbyUsingTaguchiMethodMohdFawziZamri,SyhKaiLimandAhmadRazlanYusoffViewthearticleonlineforupdatesandenhancements.ThiscontentwasdownloadedfromI

3、Paddress61.174.132.238on15/08/2018at06:35TheScienceofMakingTorquefromWind(TORQUE2016)IOPPublishingJournalofPhysics:ConferenceSeries753(2016)042011doi:10.1088/1742-6596/753/4/042011AssessmentofsyntheticwindsthroughspectralmodelingandvalidationusingFAS

4、TAChougule,STKandukuriandHGBeyerDepartmentofEngineeringSciences,UniversityofAgder,4879Grimstad,NorwayE-mail:abhijit.chougule@uia.no;surya.kandukuri@uia.no;hans-georg.beyer@uia.noAbstract.Inthispaper,weanalysethesimulatedandmeasuredwinddatawithrespect

5、totheirspectralcharacteristicsandtheireectonwindturbineloads.Thesyntheticdataisgeneratedfromastochasticfull-eldturbulentwindsimulator-TurbSimforneutralstabilityconditions.Werstinvestigateamodelforvelocityspectraand,acoherencemodel,bycomparingthemo

6、delresultswiththemeasurements.Inthesecondpartweanalysethesyntheticdataviaspectraandcoherencefortwocases;withoutandwithaddingcoherentevents.Finally,wecomparewindturbineloadscalculatedbyusingFASTsimulationof5MWreferencewindturbineonthebasisofsimulateda

7、ndmeasureddataforthegivenmeanwindspeed.1.IntroductionInordertohaveproperdesignandlifeassessmentofwindturbine,itisimportanttohaveaccuratepredictionofwindloads.Asfortheprecisestructuralmodelingoftheturbineafull3-Drepresentationoftheincomingwindisneeded

8、.Forthispurposetoolsforthesynthesisoftherespectivedatasetsarebasedonphysicalunderstandingofthestructureoftheincomingwind ow[1,2]areapplied.Thesetoolshavetodemonstratethattheyrepresentthe owstructureobservedintheatmosphericboundarylayer(ABL)andinappli