基于极限承载能力的江海直达船中剖面结构优化分析

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1、武汉理工大学硕士学位论文AbstractBecauseofitsadvantagesinbusinesscyclesandeconomic,theresearchonthestructureoptimizationofriver-to-seashipsisbecomingahotissue.Basedondiscussionandreviewofultimatestrengthofshiphullsandoptimizationmechanismandimplementationmethodofhull

2、structures,thispapertakestheweightofmidshipsectionstructureofariver-to-seashipastheoptimizationgoal.Inaccordancewith‘River-to-SeaConstructionSpecifications’,optimizationstrategyandimplementationappliedforthestructureoptimizationofriver-to-seashipsisstudi

3、edwithpresentmatureoptimizationdesignplatformwhichisbasedontheultimatestrength.Themaincontentsandresultsareasfollows:(1)Bymeansofthestudyofultimatestrengthcalculationmethods,thispaperusessimplifiedandnonlinearfiniteelementmethodastheultimatestrengthcalcu

4、lationmethod,andintroducesthecalculationprocessofsimplifiedmethodindetail.Accordingtothecharacteristicsofshipstructuresandexistingresearchachievementsofstructureoptimization,simulatedannealingalgorithmisselectedasoptimizationalgorithm.Thecalculationandan

5、alysisofoptimizationmodeliscompletedbyoptimizationdesignplatformIsight.(2)Basedontheprincipleofsimplifiedcalculationmethodofultimatestrength,thesimplifiedprogramiswroteusingFortranlanguage.Thisarticlecompletesthefactorsanalysisofthegrillagestructureunitu

6、singthesimplifiedprograminadvance.Throughthecomparisonoftheoryandresultsofdifferentmethodsofdesignofexperiments,OptimalLatinhypercubedesignischosenforsamplingandsensitivitystudy.Thestructureelementsofmidshipsectionofriver-to-seashipsareanalyzed.Takingthe

7、resultoffactorsresearchofgrillagestructureunitintoconsideration,thedesignvariables,constraintsandobjectiveoftheoptimizationofmidshipsectionstructuresareconfirmed.Then,thesensitivitiesofmidshipsectionstructuresarecalculated.Accordingtothesensitivityresult

8、s,thispapereliminatessomevariablesandmakesthepreliminaryoptimizationcalculation.(3)Basedontheparametricthought,thisarticleestablishesthemodelofparametricfiniteelementmodelingandcalculationforthemidshipsectionstructuresIII万