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ID:23518450
大小:10.60 MB
页数:90页
时间:2018-11-08
《不确定性优化方法研究及其在车身结构耐撞性优化中应用》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、AbstractTheuncertainty.basedoptimizationmethodiscrucialinpromotingthequalityoftheproducts.Asplentyofdeepresearchesontheuncertainty-basedoptimizationmethodrecently,thesurrogate—baseduncertaintyoptimizationmethodisgraduallVbecomlngpopularandisfaVoredbymorean
2、dmoredesignersduetoitssimplityandhighefficiency.NeVertheless,relativeresearchesoninvestigatingthismethodarequiteinsumcient;therefore,toconductsuchresearchesismeaningfula11dvaluable.ThecrashworthinessoptimizationdesignofCafbodyisoneofthekeyderectionsofVehlc
3、lecrashlngsatetyresearchareas,whichisacombinationoftheoDtimizationmethodandthecrashworthinessdesignengineeringproblem.However,theeverpublishedresearchesmainlyfocusonimprovingthecrashworthinessbehavioursthroughadeterminedoptimizationprocess;thus,theintroduc
4、tionofuncertaintvoptlmizationmethodinthisareaisofcrucialmeaningf.u1.Basedontheabovementlonedstatements,themainresearchis“stedasthefollowthreesections.Sec.1.Basedonthe109icanalysis,thedefectsoftheconventionalsurrogatebaseduncertaIntyoptlmlzationmethodarefig
5、uredoutandtheextremalmappingmethod1sorl91natedtoso】Vethjsproblem.Onbasisofthis,theDOEreconstructionbasedsurrogatereconstructionmethodisoriginated,whichisappliedtoconstructa11theneededf-unctionsintheneⅥ,lyorigjnateduncertaintyoptimizationprocess.F。urthermor
6、e,thestatisticaltheoryisemployedheretoinvestigatetheprecisionteatureofthereconstructedDOE.Additionally,thebenchmarksareemployedtoValidatetheresonablenessofthenewmethodandtostudyandcomparetheprecisioncharacteristicsof4kindsorrogatesintheuncertaintyoptimizat
7、ionprocess,whichisalmedtoproVidedesinerswitharef.erenceinselectionsurrogatetVpe.Sec.2.ToValidatethepracticalabiltyofthenewlyoriginatedmethod,afbam-filledtaperedthinwalledstructuresisemployedherein,andboththedetermisticoptlmlzatIonmethodanduncertaintyoptimi
8、zationmethodisappliedtomaximizeitscrashworthlness1ndicators.TheresultindicatesthattheuncertaintVbasedoptlmlzatlonhasworsecrashworthinessbehavioursbutmorereliableconstraintsandmorerobustobjectiVe.Besides,thene
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