基于GIS的大型土木工程健康監(jiān)測(cè)研究.pdf

1、東南大學(xué)碩士學(xué)位論文基于GIS的大型土木工程健康監(jiān)測(cè)研究姓名：殷寶才申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：防災(zāi)減災(zāi)工程及防護(hù)工程指導(dǎo)教師：王修信20030403查里奎蘭堡圭蘭堡篁蘭AbstractTheGIS。basedstructuralhealthmonitoringsystemGISHM(GeographicInformationSystemforHealthMonitoring)hasbeenresearchedanddevelopedbyt

2、heauthorinthispaperandappliedonthehealthmonitoringoflargebridgesandarchdamsGISsystemofdatacollectionandanalysishasbeendevelopedbasedonVisualBasicandhaspowerfulfunctionofvisualization，andmayanalyzethemonitoringdataoftheac

3、celerometerdisplacementinstrument，anemometerthermometerstraingaugebyvisualgraphThesystemcandisplaythestructuralmodesandrepresentthevibrationifthemodeidentificationandthenumericalsimulationonthekeypointsareappliedtomonito

4、ringdataThetechniqueofdamagedetectioniScoupledwiththeGIS—basedhealthmonitoringsystem，andthesystemofdamageidentificationisformedincludingmodeidentification，damagedetectionanddamagedisplayingThetechniqueofdamagedetectionma

5、inlybasesonmodeparametersandusesartificialneuralnetwork，andincludesthetwosteps：l1thestmcturaldamageoccurrencedetectionusingAuto—associateNeuralNetwork，2)thedamagepositionandstyledetectionbyProbabilisticNeuralNetworkTheGI

6、SbasedstructuralhealthmonitoringisappliedonthehealthmonitoringoflargebridgesBasedonthefiniteelementmodelandmodalanalysisofTsing—MaBridge，theartificialneuralnetworkistrainedbythemodeparametersThetrainedNeuralNetworkhasabo

7、ut89percentprobabilityonthestructuraldamageoccurrencedetectionandhasabout90percentprobabilityonthedamagepositionandstyledetectionTheuserangeoftheGIS—basedhealthmonitoringisextendedtoarchdams、ⅣiththeFEDA(FiniteElementDyna

8、micAnalysis)program，themonitoringsystemofarchdammayCalTythroughfiniteelementanalysis，visualanalysisonmonitoringdata，damagedetection，damagedisplaying，damagealarmingandSOonKeywords：GIS；healthmonitoring；visualanalysis；auto‘