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大小:1011.62 KB
页数:7页
时间:2019-05-22
《基于序列响应面法的汽车结构耐撞性多目标粒子群优化设计》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、学兔兔www.xuetutu.com第45卷第2期机械工程学报VO1.45NO.22009年2月JOURNALOFMECHANICALENGINEERINGFeb.2009DOI:10.3901/JME.2009.02.224基于序列响应面法的汽车结构耐撞性多目标粒子群优化设计木孙光永李光耀钟志华张勇(湖南大学汽车车身先进设计制造国家重点实验室长沙410082)摘要:汽车结构的耐撞性及碰撞吸能优化是一个涉及到多变量、多约束和多目标的优化过程。为克服常规响应面法在整个设计空间进行逼近导致精度低和传统的单目标优化设计只能针对其中的一个目标进行优化的缺陷。提出采用逐次逼近
2、方法,通过移动、缩放等方式在设计空间中不断更新兴趣域,在不同的兴趣域中将试验设计、能代表实际碰撞过程精度较高的近似模型和多目标粒子群优化算法相结合,获得一组最小化各目标函数的非劣解。利用最小距离选解法快速有效地从非劣解集中挑选出一组耐撞性效果晟好的解并以此解作为下~迭代步兴趣域的中心,直到收敛至最优解,最终优化解的各个目标函数值均得到提高。数字算例表明,该方法具有较高的精度和较强的工程实用性。关键词:碰撞模型优化设计多目标粒子群中图分类号:TG386OptimizationDesignofMulti-objectiveParticleSwarminCrashwort
3、hinessBasedonSequentialResponseSurfaceMethodSUNGuangyongLIGuangyaoZHONGZhihuaZHANGYong(StateKeyLaboratoryofAdvancedDesignandManufactureforVehicleBody,HunanUniversity,Changsha410082)Abstract:Automotivestructuraloptimizationrelatedtocrashworthinessandenergyabsorptioncapabilityisaprocesso
4、foptimizationwhichinvolvesmulti-variable,multi—constraintandmulti-objective.Tosolvetheproblemoflowprecisionofconventionalresponsesurfacemethodcausedbytheapproachinginthewholedesignspaceandtheproblemoftraditionalsingle—objectiveoptimizationdesignasitcallonlyoptimizeoneobjective,asuccess
5、iveapproximationmethodisproposed.Throughmovingandzooming,theregionofinterestisconstantlyrenewedinthedesignspace.Inthediferentregionsofinterest,theexperimentaldesign,ahigh—precisionapproximationmodelthatcanrepresenttheactualcollisionprocess.andmulti-objectiveparticleswarmoptimizationalg
6、orithmarecombined,thenasetofminimizednon-inferiorsolutionsforobjectivefunctionsareobtained.Byusingtheminimumdistancesolutionselectionmethod,asetofsolutionswithbestcrashworthinessefectarerapidlyandefectivelyselectedfromthesetofnon—inferiorsolutions,andtakenasthecenterofregionofinteresto
7、fnextiterativestepuntilconvergingtothebestsolution,thenalltheobjectivefunctionsofthefinalsolutionareimproved.NumericalexampleindicatesthatthismethodhashJ【ghprecisionandstrongengineeringpracticability.Keywords:CrashworthinesssimulationOptimizationdesignMulti—objectiveParticleswarmopti
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