基于GA-BP神经网络的深基坑变形预测与BIM技术的施工控制研究-豆柴文库

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基于GA-BP神经网络的深基坑变形预测与BIM技术的施工控制研究
Title:ResearchonDeepExcavationDeformationPredictionusingGA-BPNeuralNetworksandConstructionControlwithBIMTechnology
Abstract:
Deepexcavationprojectsareoftenassociatedwithsignificantchallengesduetotheircomplexgeologicalandgeotechnicalconditions.Accuratedeformationpredictionandeffectiveconstructioncontrolarecriticalforensuringthesafetyandefficiencyoftheprojects.ThispaperproposesaresearchframeworkthatintegratesGA-BPneuralnetworkswithBuildingInformationModeling(BIM)technologytoaddressthesechallenges.TheGA-BPneuralnetworkisemployedtopredictthedeformationofdeepexcavations,whileBIMtechnologyisusedforconstructioncontrol.Thesynergisticcombinationofthesetwotechniquesoffersacomprehensiveapproachtoenhancetheconstructionmanagementofdeepexcavationprojects.
Keywords:DeepExcavation,DeformationPrediction,GA-BPNeuralNetworks,BIMTechnology,ConstructionControl
1.Introduction
Deepexcavationsareoftenrequiredforvariousinfrastructuralprojectssuchashigh-risebuildings,undergroundtunnels,andundergroundparkinglots.However,duetotheinherentuncertaintiesingeotechnicalconditions,deepexcavationsarepronetodeformationsandrelatedrisks.Therefore,accuratepredictionofdeformationandappropriateconstructioncontrolmeasuresarecrucialforensuringthesafetyandstabilityoftheseexcavations.
2.LiteratureReview
Previousstudieshaveinvestigateddeformationpredictionmethodsfordeepexcavations,includingempiricalmodels,analyticalmethods,andnumericalsimulations.However,thesetraditionalmethodsoftensufferfromlimitationssuchasoversimplifiedassumptionsorlackofaccuracy.Recentadvancementsinartificialintelligenceandmachinelearningtechniqueshaveprovidedapromisingapproachfordeformationprediction.Amongthesetechniques,theGA-BPneuralnetwork,whichcombinesthegeneticalgorithm(GA)andbackpropagation(BP)algorithm,hasshownsuperiorperformanceinvariouspredictiontasks.
3.Methodology
Inthisresearch,theGA-BPneuralnetworkisadoptedfordeepexcavationdeformationprediction.TheGA-BPneuralnetworkintegratestheglobalsearchabili