文档名:Optimal Calibration of Q235B Steel JohnsonCook Model Parameters Based on Global Response Surface Algorithm
Abstract:ThisstudyinvestigatesthemechanicalpropertiesofQ235Bsteelthroughquasi-statictestsatbothroomtemperatureandelevatedtemperature.TheinitialvaluesoftheJohnson-Cookmodelparametersaredeterminedusingafittingmethod.TheglobalresponsesurfacealgorithmisemployedtooptimizeandcalibratetheJohnson-CookmodelparametersforQ235Bsteelunderbothroomtemperatureandelevatedtemperatureconditions.Asimulationmodelisestablishedatroomtemperature,andthesimulatedmechanicalperformancecurvesfordisplacementandstressaremonitored.Multipleoptimizationalgorithmsareappliedtooptimizeandcalibratethemodelparametersatroomtemperature.Theglobalresponsesurfacealgorithmisidentifiedasthemostsuitablealgorithmforthisoptimizationproblem.Sensitivityanalysisisconductedtoexploretheimpactofmodelparametersontheobjectivefunction.Theanalysisindicatesthattheoptimizedmaterialmodelbetterfitstheexperimentalvalues,aligningmorecloselywiththeactualtestresultsofmaterialstrainmechanismsoverawidetemperaturerange.