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离散变量刚架结构拓扑优化设计的一种新方法 Abstract: Inrecentyears,topologyoptimizationhasbeenwidelyusedinthedesignofstructures,butmostofthemfocusontheoptimizationofcontinuousvariables.However,fordiscretevariablesliketrussstructures,traditionaltopologyoptimizationmethodscanhardlyworkwellduetothediscretenatureoftheproblem.Inthispaper,weproposeanewtopologyoptimizationmethodfortrussstructuresbasedondiscretevariables.Theproposedmethodusesageneticalgorithmtooptimizethetopologyofthetrussstructure,andtheperformanceofthetrussstructureisevaluatedbyusingfiniteelementanalysis.Casestudiesshowthattheproposedmethodcaneffectivelyoptimizethetopologyofthetrussstructureandimproveitsperformance. Introduction: Topologyoptimizationhasbecomeanimportanttoolforstructuraldesigninrecentyears.Itaimstooptimizethetopologyofstructuresbyremovingunnecessarymaterialsandreducingtheweightwhilemaintainingthestructuralintegrity.However,mostoftheexistingtopologyoptimizationmethodsfocusoncontinuousvariables,whicharenotapplicabletodiscretevariablesliketrussstructures. Trussstructuresarewidelyusedinengineeringpracticeduetotheirsimplicityandefficiency.However,thetopologyofthetrussstructureplaysasignificantroleintheperformanceofthestructure.Therefore,theoptimizationoftrussstructures'topologyhasbecomeacrucialresearchtopic.Inthispaper,weproposeanewtopologyoptimizationmethodfortrussstructuresbasedondiscretevariables. Methodology: Theproposedtopologyoptimizationmethodfortrussstructuresincludesthefollowingsteps: 1.Designvariableencoding:Inthisstep,weencodeeachelementofthetrussstructureintoabinarydigit.Thebinarydigit'1'representstheexistenceofthetrusselement,while'0'representstheabsence. 2.Geneticalgorithmoptimization:Thegeneticalgorithmisusedtooptimizethetopologyofthetrussstructure.Thealgorithmstartswitharandomlygeneratedpopulationoftrussstructures,andeachindividualinthepopulationisevaluatedbyusingfiniteelementanalysistocalculateitsperformance.Theindividualswithbetterperformancearethenselectedforreproductionandcross-over,generatingthe

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