基于多变量的集成预测模型在隧道拱顶沉降变形预测中的应用

基于多变量的集成预测模型在隧道拱顶沉降变形预测中的应用为题目，写不少于1200的论文AbstractIn recent years, an increasing number of transport

基于多变量的集成预测模型在隧道拱顶沉降变形预测 1200 中的应用为题目，写不少于的论文 Abstract Inrecentyears,anincreasingnumberoftransportation infrastructureprojectshavebeencarriedoutworldwide.Akey challengefortheseprojectsistopredictthedeformationand settlementoftunnels’rooftoensurethesafetyofthetunnels. Thepresentstudyaimstodevelopamulti-variableensemble predictionmodeltopredictthedeformationandsettlementof tunnels’roof.Theproposedmodelwastestedonthecaseofa tunnelproject,andtheresultsshowhighpredictionaccuracyand potentialpracticalapplications. Introduction Tunnelsareanessentialpartofthetransportation infrastructure,servingascriticalchannelsfortrafficflow.However, tunnellingactivitiesoftencausesurfacesubsidenceand deformation,whichmayleadtoseveresafetyissues.Therefore, thepredictionofdeformationandsettlementoftunnelroofsisof greatimportance.Toachieveaccuratepredictions,variousmodels basedonneuralnetworks,regressionanalysis,andBayesian inferencehavebeendeveloped.However,noneofthesemodels couldprovidereliableandrobustpredictionsunderall circumstances. Thepresentstudyaimstodevelopamulti-variableensemble predictionmodel,combiningmultiplevariablesindifferent domains,topredictthedeformationandsettlementoftunnels’ roof.Theproposedmodelistestedonacaseofatunnelproject toevaluateitspredictionaccuracyandpotentialpractical applications. Methodology Themulti-variableensemblepredictionmodelproposedin thisstudycombinesmultiplevariablesindifferentdomains.Firstly, variablesrelatedtothegeologicalandgeotechnicalcharacteristics oftherockmassareconsidered,suchastherockmassproperties, tunneldiameter,andlength,andtheexcavationmethod. Secondly,thevariablesrelatedtotheexcavationprocessare