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典型文献
Deep convolutional neural network for multi-level non-invasive tunnel lining assessment
文献摘要:
In recent years,great attention has focused on the development of automated procedures for infrastructures control.Many efforts have aimed at greater speed and reliability compared to traditional methods of assessing structural conditions.The paper proposes a multi-level strategy,designed and implemented on the basis of periodic structural monitoring oriented to a cost-and time-efficient tunnel control plan.Such strategy leverages the high capacity of convolutional neural networks to identify and classify potential critical situations.In a supervised learning framework,Ground Penetrating Radar(GPR)profiles and the revealed structural phenomena have been used as input and output to train and test such networks.Image-based analysis and integrative investigations involving video-endoscopy,core drilling,jacking and pull-out testing have been exploited to define the structural conditions linked to GPR profiles and to create the database.The degree of detail and accuracy achieved in identifying a structural condition is high.As a result,this strategy appears of value to infrastructure managers who need to reduce the amount and invasiveness of testing,and thus also to reduce the time and costs associated with inspections made by highly specialized technicians.
文献关键词:
作者姓名:
Bernardino CHIAIA;Giulia MARASCO;Salvatore AIELLO
作者机构:
Department of Structural,Geotechnical and Building Engineering,Polytechnic University of Turin,Torino 10129,Italy
引用格式:
[1]Bernardino CHIAIA;Giulia MARASCO;Salvatore AIELLO-.Deep convolutional neural network for multi-level non-invasive tunnel lining assessment)[J].结构与土木工程前沿,2022(02):214-223
A类:
jacking
B类:
Deep,convolutional,neural,multi,level,tunnel,lining,assessment,In,recent,years,attention,has,focused,development,automated,procedures,infrastructures,control,Many,efforts,have,aimed,greater,speed,reliability,compared,traditional,methods,assessing,structural,conditions,paper,proposes,strategy,designed,implemented,basis,periodic,monitoring,oriented,efficient,plan,Such,leverages,capacity,networks,classify,potential,critical,situations,supervised,learning,framework,Ground,Penetrating,Radar,GPR,profiles,revealed,phenomena,been,input,output,train,such,Image,analysis,integrative,investigations,involving,video,endoscopy,core,drilling,pull,testing,exploited,define,linked,create,database,degree,detail,accuracy,achieved,identifying,result,this,appears,value,managers,who,need,reduce,amount,invasiveness,thus,also,costs,associated,inspections,made,by,highly,specialized,technicians
AB值:
0.653751
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