2019
DOI: 10.1016/j.enggeo.2019.105250
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Determination of shear failure regions of rock joints based on point clouds and image segmentation

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Cited by 19 publications
(6 citation statements)
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“…Specimen blocks were sourced from travertine and granite mines located in an industrial region in the south of Tehran, Iran. The selection of these rocks was made with a view to having a variety of textures as travertine, being a sedimentary rock, features a porous and streaky formation, whereas igneous granite has a homogeneous structure; and it is known that the rock type material has a determinative role in the creation of rock joints [ 33 , 36 ]. Based on the roughness of the acquired produced tensile fractured joints, four distinct joint types with different joint roughness values (JRC) were selected to be cast with high precision silicon rubbers.…”
Section: Experimental Programmentioning
confidence: 99%
“…Specimen blocks were sourced from travertine and granite mines located in an industrial region in the south of Tehran, Iran. The selection of these rocks was made with a view to having a variety of textures as travertine, being a sedimentary rock, features a porous and streaky formation, whereas igneous granite has a homogeneous structure; and it is known that the rock type material has a determinative role in the creation of rock joints [ 33 , 36 ]. Based on the roughness of the acquired produced tensile fractured joints, four distinct joint types with different joint roughness values (JRC) were selected to be cast with high precision silicon rubbers.…”
Section: Experimental Programmentioning
confidence: 99%
“…The influences of irregular rock mass structures on the mechanical and failure characteristics are ignored, which makes the mechanical characteristics of rock mass differ from the test results. With the development of measurement technology, several studies have applied digital photogrammetry methods to rock mass structure measurements [115][116][117][118][119]. In particular, 3D laser scanners can achieve real replication and are now gradually being used in the field of engineering measurements and detection.…”
Section: Integration Of 3dp With 3d Scanning and Ct Scanningmentioning
confidence: 99%
“…Sun et al (2019) used a clustering superpixel segmentation algorithm combining color, spatial location, and texture to identify and separate waste rock and raw coal. Ge et al (2019) determined the shear failure area of rock joints based on point cloud and image segmentation. Li and Zhang (2019) proposed a fracture segmentation method based on contour evolution and gradient direction consistency to accurately segment the fracture network in coal and rock CT image sequences.…”
Section: Introductionmentioning
confidence: 99%