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基于图像法的拱桥结构损伤识别.docx

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基于图像法的拱桥结构损伤识别为题目，写不少于1200的论文 Abstract Thestructuraldamageidentificationofarchbridgebasedonimagemethodhasbecomeanimportanttopicinthefieldofbridgeengineering.Theidentificationofstructuraldamageisofgreatsignificanceforthesafetyandmaintenanceofarchbridge.Inthispaper,methodsforstructuraldamageidentificationofarchbridgebasedonimagemethodaresystematicallyreviewed,includingimageacquisition,featureextractionanddamageidentificationalgorithm.Then,thefeasibilityandeffectivenessofimage-baseddamageidentificationmethodsareverifiedbysimulationexamples,andthefutureresearchdirectionisprospected. Keywords:archbridge;structuraldamageidentification;imagemethod;featureextraction;damageidentificationalgorithm 1.Introduction Archbridgeisatypeofbridgestructurewithlargespanandhighbearingcapacity,whichiswidelyusedintransportationengineering.Withtheincreasingofservicelifeofarchbridge,theagingofmaterials,corrosion,overloadandotherfactorsmaycausestructuraldamage,whichwillaffectthesafetyanddurabilityofthebridge.Therefore,itisnecessarytocarryoutregularmaintenanceandinspectionofthearchbridge,andtoaccuratelyidentifyandevaluatethestructuraldamageofthebridge.Inrecentyears,image-basedstructuraldamageidentificationmethodhasbeenwidelyusedinthefieldofcivilengineeringduetoitsadvantagesofnon-contactmeasurement,highaccuracyandfastspeed. 2.Imageacquisition Theacquisitionofhigh-qualitybridgeimageisthefirststepofimage-basedstructuraldamageidentification.Atpresent,therearevariousmethodsforbridgeimageacquisition,includingaerialphotography,ground-basedsurvey,unmannedaerialvehicle(UAV)photographyandremotesensingtechnology.Theimageacquisitionmethodshouldbedeterminedaccordingtotheactualsituationofthebridge,suchasthespan,bridgedeckheightandaccessibility. 3.Featureextraction Featureextractionistheprocessofextractingtheeffectivefeaturesfromthebridgeimage,whichcanreflectthedamagecharacteristicsofthestructure.Commonfeatureextractionmethodsincludegray-levelco-occurrencematrix(GLCM),Gaborwavelettransform,localbinarypattern