BP神经网络在大型钢箱梁斜拉桥施工控制中的应用研究

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1、西南交通大学硕士学位论文BP神经网络在大型钢箱梁斜拉桥施工控制中的应用研究姓名：雷敏申请学位级别：硕士专业：桥梁与隧道工程指导教师：李小珍20080701西南交通大学硕士研究生学位论文第1I页AbstractWithtlleemploymentoftlighstrengthmaterial，improvementofstructuralanalysismethods，developmentofconstructionmethods，itisaneweraofrapiddevelopmentforthe"cable．stayedbridgeinrecentyears．But付lecab

2、le—stayedbridgeiSahigh．orderstaticallyindeterminateandflexiblestructure，thedesignobiective(thepermanentlcadinternalforceandthefinalbridgeline)hasrelativitVwiththeprocessofconstruction．Duringconstruction，alongwith也evariationofthelcadstatusandthestructuresystemofthecable—stayedbridge，thestructure

3、internalforceandthestructuredeformationchangecontinuously．AspecificordaintOtheconstructionsequencemustbeestablishedandeffecfivelycontrolintheconstructionmustbeactualized．Inthethesis，thedevelopmentstatusofcable—stayedbridgeandthecable．stayedbrid2econstructioncontrolaresummarizedathomeandabroad．T

4、hebasic也eory,principle．content，methodandinfluencefactorofthecable．stayedbridgeconstructioncontrolareexpatiated．Theemulationanalysismethodsofcable．stayedbridgeconstructioncontrol(forward—calculationmethod，back—runningmethod，no—stressmethod)areamplified．Leastsquaremethod．greysystemtheory，Kalmanfi

5、ltermethod，artificialneuralnetworkmethodarediscussedandanalyzedfromthepointofconstructioncontrolmethodsthatwere，usedinbridgeproject．BPneuralnetworksalgorithmisderivedindetailtOprovethepossibilityoftheBPneuralnetworkmethodused幻constructioncontrolfromtheory．AtthefoundationofanalyzingtheblemishofB

6、Pneuralnetworksalgorithminphysicallyapplied，ahomologousimprovementmethodisproposed．BasedonthepracticalengineeringoftheHuangpuBridgeovernoahbranchofPearRiverinGuangzhou，along—spancable．stayedbridgeelevationpredictionprocedureiSdesignedwiththeMATLABprocedurelanguageandBPneuralnetworksalgorithmand

7、afavourableeffectiSachieved．Dependingontheparametersanalysisofthe10ng—spancabIe。stayedbridgeelevationpredictionprocedure，someValuableconclusionsandexperiencesareobtained．Keywords：cable—stayedbridge，constructioncontrol，BPneuralnetw