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1、長江科學(xué)院碩士學(xué)位論文橋梁移動荷載識別技術(shù)的適用性研究姓名：朱軍華申請學(xué)位級別：碩士專業(yè)：巖土工程指導(dǎo)教師：余嶺陳敏中20060401橋梁移動荷載識別技術(shù)的適用性研究IIAPPLICABILITYSTUDYONIDENTIFICATIONOFMOVINGLOADSONBRIDGESABSTRACTVehicleloadsmovingonthehighwaybridgesaswellasimpartedtothebridgesarenol

2、ongerconstantbutvarywithtimelocationstheyaredynamic.Thedynamicloadsgenerateadditionaldynamicstressesstrainsinpavementthatarethoughttoacceleratetheroadsurfacedeteriationfatiguebreakdowninducethebridgedamageaccumulationasw

3、ellascausethebridgefailuresfinally.Themovingfceidentificationhasbeenstudiedextensivelyinrecentyears.Afewidentificationmethodsweresuccessivelyproposedfidentifyingthedynamicvehicleloadsonbridgesbuttherearestillmanychalleng

4、esobstaclestobeovercomebefethesemethodscanbeimplementedinpractice.Asftheseproblemssuchastheloweridentificationaccuracythelongerexecutivetimeaswellastheillposedproblemsoftheinverseproblemsoccurredinthefceidentificationafu

5、rtherstudyhasbeenconductedbasedonthetheyofmovingfceidentificationinthisthesissomesatisfiedresultswereobtained.Firstlythefourmethodsvalidatedsuccessfullyaresummarizedanimprovedtimedomainmethod(ITDM)isproposedfmovingfceide

6、ntificationbasedonthebasictheyofmethodofmoments.Themovingvehicleloadsareexpressedintermsofwholebasisfunctionsthenidentifiedfromthemeasuredresponsesofbridges.Numericalsimulationsontheidentificationofbothtwoconstantmovingl

7、oadstimevaryingmovingloadsshowthatthecrectnesseffectivenessoftheITDM.ComparedwiththeexistingTDMtheITDMhashigheridentificationaccuracyrobustnoiseimmunity.HowevertheITDMarestilltimeconsuming.IndertolessentheexecutiveCPUtim

8、eofmovingfceidentificationtwowholebasisfunctionssuchasthogonalLegendrepolynomialsFourierserieshavebeenthenintroducedadoptedfthemovingfceidentification.ThesimulationresultsshowthattheITDMexecutiveCPUtimecanbesignificantly

9、reducediftheFourierseriesareadoptedasthebasisfunctionsofthemethodofmoments.Thirdlytheillconditionedinverseproblemsstillaffecttheidentificationresults.Twogeneralsolutionsusedtosolvethesystemequationssuchassingularvaluedec

10、ompositiontheregularizationmethodsareintroducedassessed.ThesimulationresultsshowthattheITDMhasbetterresultsthantheTDMwhetherusingSVDtheregularizationmethod.Fourthlysomefurtherexperimentalstudieshavebeenimplemented.Theeff

11、ectsofseveralmainparametersontheITDMarestrictlyinvestigated.TheseparametersincludethebasisfunctionnumberthemodenumberthemeasuredstationstheCPUexecutivetimeNyquistfractionvaluesthesolutionmethodsExperimentalassessmentresu

12、ltsshowthattheexecutivetimeofITDMisabout6percentofTDMwhichisverybeneficialtorealtimeanalysisofmovingfceidentificationinfield.Finallysomeconclusionsweremaderecommendationsareproposedffurtherstudiesinthefuture.Keywds:movin

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