QuantifyingtheImpactofUncertainMaterialParametersonPavement ResponseusinganInverseModellingTechnique
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KDU International Research Conference
Abstract
Accuratemodellingofpavementresponseplaysacriticalroleintheeffectivedesign, analysis,andmaintenanceofroadinfrastructure.However,thepresenceofuncertainty inmaterialparameterscansignificantlycompromisethereliabilityandaccuracyofsuch models.Thisstudyfocusesoninvestigatingtheimpactofuncertainmaterialparameters onpavementresponsebyemployinganinversemodellingtechnique.Theobjectiveofthis researchistoutilizeaninversemodellingapproachtoassesstheinfluenceofuncertain materialparametersonUzan’smodel,acommonlyusedmodelforpavementresponse. ThestudyconsidersmeasuredstressandstrainvaluesobtainedfromtyreandFalling WeightDeflectometerloadconditionsappliedtogranularmaterials.Theinversemodel isformulatedasanonlinearleastsquaresminimizationproblem,inconjunctionwith afiniteelementmodelthatanalysesthedeformationofflexiblepavements.Through theapplicationoftheinversemodellingtechnique,thisstudyaimstodeterminethe extenttowhichuncertainmaterialparametersaffecttheaccuracyofpavementresponse predictions.Bycomparingthepredictedpavementbehaviourderivedfromtheinverse modelwithactualmeasureddata,theinfluenceofuncertainparameterscanbequantified. Theoutcomesofthisresearchcontributetoadvancingtheunderstandingofthecomplex interplaybetweenmaterialparameteruncertaintiesandpavementresponse.