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典型文献
A novel image-based approach for interactive characterization of rock fracture spacing in a tunnel face
文献摘要:
This paper presents a novel integrated method for interactive characterization of fracture spacing in rock tunnel sections.The main procedure includes four steps:(1)Automatic extraction of fracture traces,(2)digitization of trace maps,(3)disconnection and grouping of traces,and(4)interactive measurement of fracture set spacing,total spacing,and surface rock quality designation(S-RQD)value.To evaluate the performance of the proposed method,sample images were obtained by employing a photogrammetry-based scheme in tunnel faces.Experiments were then conducted to determine the optimal parameter values(i.e.distance threshold,angle threshold,and number of fracture trace grouping)for characterizing rock fracture spacing.By applying the identified optimal parameters involved in the model,the proposed method could lead to excellent qualitative results to a new tunnel face.To perform a quantitative analysis,three methods(i.e.field,straightening,and the proposed method)were employed in the same study and comparisons were made.The proposed method agrees well with the field measurement in terms of the maximum and average values of measured spacing distribution.Overall,the proposed method has reasonably good accuracy and interactive advantage for estimating the ultimate fracture spacing and S-RQD.It can be a possible extension of existing methods for fracture spacing character-ization for two-dimensional(2D)rock tunnel faces.
文献关键词:
作者姓名:
Jiayao Chen;Yifeng Chen;Anthony G. Cohn;Hongwei Huang;Jianhong Man;Lijun Wei
作者机构:
Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education,Department of Geotechnical Engineering,Tongji University,Shanghai,200092,China;School of Computing,University of Leeds,Leeds,LS2 9JT,UK;Department of Computer Science and Technology,Tongji University,Shanghai,211985,China;School of Civil Engineering,Shandong University,Jinan,250061,China; Luzhong Institute of Safety,Environmental Protection Engineering and Materials,and School of Mechanical and Electrical Engineering,Qingdao University of Science and Technology,Qingdao,255000,China
引用格式:
[1]Jiayao Chen;Yifeng Chen;Anthony G. Cohn;Hongwei Huang;Jianhong Man;Lijun Wei-.A novel image-based approach for interactive characterization of rock fracture spacing in a tunnel face)[J].岩石力学与岩土工程学报(英文版),2022(04):1077-1088
A类:
B类:
novel,approach,interactive,characterization,rock,fracture,spacing,tunnel,This,paper,presents,integrated,sections,main,procedure,includes,four,steps,Automatic,extraction,traces,digitization,maps,disconnection,grouping,measurement,set,total,surface,quality,designation,RQD,To,evaluate,performance,proposed,sample,images,were,obtained,by,employing,photogrammetry,scheme,faces,Experiments,then,conducted,determine,optimal,values,distance,threshold,angle,number,characterizing,By,applying,identified,parameters,involved,model,could,lead,excellent,qualitative,results,new,quantitative,analysis,three,methods,field,straightening,employed,same,study,comparisons,made,agrees,well,terms,maximum,average,measured,distribution,Overall,has,reasonably,good,accuracy,advantage,estimating,ultimate,It,can,possible,extension,existing,two,dimensional,2D
AB值:
0.534348
相似文献
Machine learning-based classification of rock discontinuity trace:SMOTE oversampling integrated with GBT ensemble learning
Jiayao Chen;Hongwei Huang;Anthony G.Cohn;Dongming Zhang;Mingliang Zhou-Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education,Department of Geotechnical Engineering,Tongji University,Shanghai 200092,China;School of Computing,University of Leeds,LS2 9JT Leeds,United Kingdom;Department of Computer Science and Technology,Tongji University,Shanghai 211985,China;School of Civil Engineering,Shandong University,Jinan 250061,China;Luzhong Institute of Safety,Environmental Protection Engineering and Materials,Qingdao University of Science and Technology,Zibo 255000,China;School of Mechanical and Electrical Engineering,Qingdao University of Science and Technology,Qingdao 260061,China
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