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ID:36570876
大小:3.55 MB
页数:92页
时间:2019-05-12
《基于随机子空间法的梁桥模态参数识别》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、西南交通大学硕士学位论文基于随机子空间法的梁桥模态参数识别姓名:刘东霞申请学位级别:硕士专业:桥梁与隧道工程指导教师:单德山20080501西南交通大学硕士研究生学位论文第1I页AbstractModalparameteridentificationbasedonStochasticSubspaceIdentification(SSIforshort)algorithmisoneoftheModalparameteridentificationmethodsundertheambientexcitation.Havingtheor
2、yreliabilityandengineeringappliedfeasibility,theSSImethodtoidentifylargestructuremodalparameteriswidelyusedinengineeringforitcanidentifystructuremodalparameterintimedomainonlyrequiringoutputsingnalsandwithoutneedingartificialexcitation.Itisanimportantresearchaspectoft
3、heModalparameteridentification.Firstofall,thegeneralresearchaspectanddevelopmenttrendofthemodalparemeteridentificationisreviewedaccordingtotheconceptionofthemodalparameteridentification.Thetheoreticaldevelopmentofmodelparameteridentificationforbridgeengineeringissumma
4、rized,andtheresearchmeaningsofdamageidentificationbasedonitarealsopresented.Andthenthetheoreticaldevelopmentandbasictheoryofmodalparameteridentificationbasedontheambientvibrationareintroduced.Theconventionalusedmethodsinparameteridentificationbasedontheambientexcitati
5、onandthecalculationsoftheeigenvalueandeigenvectorofvibrationsystemareintroducedindetail.ThebasictheoryofStochasticSubspaceIdentificationisintroducedinChapter3.StochasticSubspaceIdentificationisanoveltimedomainidentificationmethod,whichonlyusesambientvibrationresponsed
6、atatoidentifythesystemmodelbylinearalgebraicmanipulationssuchasQR-factorizationandSingularValueDecomposition(SVD).TheidentificationstepsofCovariance—drivenStochasticSubspaceIdentificationandData—drivenStochasticSubspaceIdentificationareintrouducedindetail,Reference-ba
7、sedStochasticSubspaceIdentificationiSmentioned.andthedifferenceandrelationofthemiSalsopresented.Subsequently,numericalverificationsaboutStochasticSubspaceIdentificationalgorithmarecarriedout.Takingacontinuousgirderbridgeandasimplegirderbridgeastheexamples,identificati
8、onalgorithmprogrambasedonMATLABiScarriedout.makinguseofANSYStoobtainmodalinformationof西南交通大学硕士研究生学位论文第1lI页一-一———————————————
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