Automatic detection and analysis of discontinuity geometry of rock mass from digital images

Deb, D.; Hariharan, Srivats; Rao, U. Mohan; Ryu, Chang-Ha

doi:10.1016/j.cageo.2007.03.007

Cited by 52 publications

(19 citation statements)

References 3 publications

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“…There are many approaches in the evaluation of applicable algorithms that extract the displacement and strain fields from photographic static images or video images. DEB et al [1] analyzed the discontinuity geometry of rock mass exposures, and recommended a digital face mapping method to characterize rock masses. XU et al [2] presented the digital image analysis of fluid inclusions in rocks, and investigated the characteristics of fluid inclusion lines using edge-detection techniques and mathematical morphological analyses.…”

Section: Introductionmentioning

confidence: 99%

Strain field investigation of limestone specimen under uniaxial compression loads using particle image velocimetry

Cheng

2011

J. Cent. South Univ. Technol.

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The particle image velocimetry (PIV) method was used to investigate the full-field displacements and strains of the limestone specimen under external loads from the video images captured during the laboratory tests. The original colorful video images and experimental data were obtained from the uniaxial compression test of a limestone. To eliminate perspective errors and lens distortion, the camera was placed normal to the rock specimen exposure. After converted into a readable format of frame images, these videos were transformed into the responding grayscale images, and the frame images were then extracted. The full-field displacement field was obtained by using the PIV technique, and interpolated in the sub-pixel locations. The displacement was measured in the plane of the image and inferred from two consecutive images. The local displacement vectors were calculated for small sub-windows of the images by means of cross-correlation. The video images were interrogated in a multi-pass way, starting off with 64×64 images, ending with 16×16 images after 6 iterations, and using 75% overlap of the sub-windows. In order to remove spurious vectors, the displacements were filtered using four filters: signal-to-noise ratio filter, peak height filter, global filter and local filter. The cubic interpolation was utilized if the displacements without a number were encountered. The full-field strain was then obtained using the local least square method from the discrete displacements. The strain change with time at different locations was also investigated. It is found that the normal strains are dependant on the locations and the crack distributions. Between 1.0 and 5.0 s prior to the specimen failure, normal strains increase rapidly at many locations, while a stable status appears at some locations. When the specimen is in a failure status, a large rotation occurs and it increases in the inverse direction. The strain concentration bands do not completely develop into the large cracks, and meso-cracks are not visible in some bands. The techniques presented here may improve the traditional measurement of the strain field, and may provide a lot of valuable information in investigating the deformation/failure mechanism of rock materials.

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Section: Introductionmentioning

confidence: 99%

Strain field investigation of limestone specimen under uniaxial compression loads using particle image velocimetry

Cheng

2011

J. Cent. South Univ. Technol.

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“…To overcome these limitations, recent advances in non-contact survey techniques are becoming increasingly used; digital photography for mapping traces [5][6][7][8][9][10][11][12] and detecting failure [13][14][15], digital photogrammetry, or laser scanner for surveying discontinuity planes [16][17][18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Geostructural and Geomechanical Study of the Piastrone Quarry (Seravezza, Italy) Supported by Photogrammetry to Assess Failure Mode

et al. 2020

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The use of non-contact-techniques for rock mass characterization has been growing significantly over the last decade. However, their application to stability assessment of ornamental stone has not yet received much attention from researchers. This study utilizes rock mass data both in terms of slope orientations and degree of fracturing obtained from a point cloud, a set of three-dimensional (3D) points representing a rock mass surface, to (1) investigate the influence of geostructures at different scales and (2) assess quarry stability by determining areas susceptible to different failure types. Multi-resolution point clouds are obtained through several photogrammetric survey techniques to identify important structural elements of the site. By integrating orientation data of discontinuity planes, obtained with a traditional survey, and of traces, outlined on point clouds, several joint sets were identified. Kinematic tests revealed various potential failure modes of the rock slope. Moreover, an analysis of the influence of the discontinuity strength determined by the presence of rock bridges was carried out. The study revealed that the strength of the quarry face is governed by the presence of rock bridges that act to improve the stability condition of the rock fronts.

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“…Structural mapping Gates & Haneberg (2012) Extraction of the orientations of the discontinuities Deb et al (2008), Sturzenegger & Stead (2009), Assali et al (2014), Vasuki et al (2014), Buyer & Schubert (2016), Viana et al (2016), Riquelme et al (2017) Surveys of trenches, rock exposures and hand specimens for paleo-seismology and structural geology Bemis et al (2014) Fault analysis Tavani et al (2016) Geo-mechanical classification Riquelme et al (2016) Kinematic analysis of rock slopes Jorda-Bordehore et al (2017) Accuracy of SfM and LiDAR for structural measurements Cawood et al (2017) Orientation measurements of complex folds Zachariah & Terry (2018) Topography and bathymetry…”

Section: Introductionmentioning

confidence: 99%

Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paraná Basin, southeastern Brazil

et al. 2018

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This work presents the development of a three-dimensional (3D) model of an outcrop of the Corumbataí Formation (Permian, Paraná Basin, Brazil) using Structure from Motion -Multi-View Stereo (SfM-MVS) technique in order to provide a structural analysis of clastic dikes cutting through siltstone layers. While traditional photogrammetry requires the user to input a series of parameters related to the camera orientation and its characteristics (such as focal distance), in SfM-MVS the scene geometry, camera position and orientations are automatically determined by a bundle adjustment, an iterative procedure based on a set of overlapping images. It is considered a low-cost technique in terms of hardware and software, also being able to provide point density and accuracy on par to the ones obtained withTerrestrial Laser Scanning. The results acquired on this research have good agreement with previous works, yielding a NNW main orientation for the dikes measured in the field and on the 3D model. The development of this work showed that SfM-MVS use and practice on geosciences still needs more studies on the optimization of the involved parameters (such as camera orientation, image overlap and angle of illumination), which, when accomplished, will result in less processing time and more accurate models.

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Automatic detection and analysis of discontinuity geometry of rock mass from digital images

Cited by 52 publications

References 3 publications

Strain field investigation of limestone specimen under uniaxial compression loads using particle image velocimetry

Strain field investigation of limestone specimen under uniaxial compression loads using particle image velocimetry

Geostructural and Geomechanical Study of the Piastrone Quarry (Seravezza, Italy) Supported by Photogrammetry to Assess Failure Mode

Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paraná Basin, southeastern Brazil

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