3D laser imaging for surface roughness analysis

Mah, Jason; Samson, C.; McKinnon, Stephen D.; Thibodeau, Denis

doi:10.1016/j.ijrmms.2012.08.001

Cited by 76 publications

(47 citation statements)

References 18 publications

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“…The goals of the mission were (1) to enhance the visual perception of the 3D images in post-processing and (2) to determine if software designed to automatically estimate joint orientation [Mah et al 2012] could be successfully applied to the point clouds generated using SfM.…”

Section: Open-pit Mine Surveymentioning

confidence: 99%

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Using Video Acquired from an Unmanned Aerial Vehicle (UAV) to Measure Fracture Orientation in an Open-Pit Mine

et al. 2013

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This project explored the feasibility of using video images acquired with an unmanned aerial vehicle (UAV) to obtain three-dimensional (3D) point clouds using structure from motion (SfM) software. Missions were flown using an Aeryon Scout: a lightweight, vertical take-off and landing quadrotor micro UAV with a miniature video camera. The initial mission captured urban scene images that were used to assess system performance while the main mission focused on rock walls where 3D images were used to successfully measure fracture orientations. Point clouds generated from this combination of technologies were sparse, but in the future, improvements in the resolution of original video images would cascade through the processing and improve the overall results. Such a system could have a multitude of applications in the mining industry, contributing to both safety and financial considerations.

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Section: Open-pit Mine Surveymentioning

confidence: 99%

“…Mah et al [2012] have developed a methodology for estimating joint orientation directly from point cloud data. A best-fit plane is computed through a subset of points within a specified radius using PCA, and strike and dip values are derived directly from the orientation of the plane (Figure 4).…”

Section: Joint Orientationmentioning

confidence: 99%

Using Video Acquired from an Unmanned Aerial Vehicle (UAV) to Measure Fracture Orientation in an Open-Pit Mine

et al. 2013

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“…However, the development of remote sensors (e.g., LiDAR-based scanners) and their availability as research equipment have prompted geoscientists to develop new methods that improve the analysis, avoid access problems, reduce time and labor, and result in a more representative dataset. The terrestrial laser scanner (TLS) is one of the most widely used instruments in Earth science applications, and it is very useful for acquiring high-quality, high-resolution, three-dimensional (3D) point clouds from outcrops (Xu et al, 2000;Bellian et al, 2005;Mc-Caffrey et al, 2005;Olariu et al, 2008;Jones et al, 2009;Mah et al, 2011;Wilson et al, 2011;Pearce et al, 2011;Mah et al, 2013). In addition, the GPS receiver module in a typical TLS allows the point cloud, a set of points in a 3D coordinate system, to be transformed into different geographic coordinate systems, so the data can be processed and used for different purposes, such as topographic feature extraction and orientation estimation for planar surfaces.…”

Section: Introductionmentioning

confidence: 99%

A region-growing approach for automatic outcrop fracture extraction from a three-dimensional point cloud

Wang

Zou

Shen

et al. 2017

Computers & Geosciences

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Conventional manual surveys of rock mass fractures usually require large amounts of time and labor; yet, they provide a relatively small set of data that cannot be considered representative of the study region. Terrestrial laser scanners are increasingly used for fracture surveys because they can efficiently acquire large area, high-resolution, three-dimensional (3D) point clouds from outcrops. However, extracting fractures and other planar surfaces from 3D outcrop point clouds is still a challenging task. No method has been reported that can be used to automatically extract the full extent of every individual fracture from a 3D outcrop point cloud. In this study, we propose a method using a region-growing approach to address this problem; the method also estimates the orientation of each fracture. In this method, criteria based on the local surface normal and curvature of the point cloud are used to initiate and control the growth of the fracture region. In tests using outcrop point cloud data, the proposed method identified and extracted the full extent of individual fractures with high accuracy. Compared with manually acquired field survey data, our method obtained better-quality fracture data, thereby demonstrating the high potential utility of the proposed method.

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“…This controversial phenomenon was also found by the other researchers (Yang and Lo 1997;Lee et al 2001;Grasselli and Egger 2003;Li et al 2008;Xia et al 2014). In addition, roughness of a natural rock joint is anisotropic (Aydan et al 1996;Jing et al 1992;Kulatilake et al 1995a, b;Mah et al 2013). Even along one particular direction, the peak shear strength of a joint can be different in the forward and backward directions.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Peak Shear Strength Criterion for Rock Joints

et al. 2015

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The three-dimensional (3D) morphology of a rock joint has a great impact on its shear behavior. To study the relationship between the 3D morphological characteristics and the peak shear strength, several tilt tests were conducted on four groups of tensile fractures and direct shear tests were carried out under different constant normal loads (CNL). The normal load ranges from 0.325 to 8.0 MPa. In this study, fresh tensile fractures which were splitted from granite and sandstone samples were used. The morphology of each tensile fracture was measured before direct shear tests. A new peak shear strength criterion for rock joints is proposed using two 3D morphological parameters which are termed as the maximum apparent dip angle h Ã max and the roughness parameter C. The calculated peak strengths using the proposed criterion match well with the observed values. In addition, a comparison of the proposed model with the Grasselli's model (2003) and Xia's model (2014) shows that the proposed model is easier in the form and gives a rational improvement. At last, direct shear test data of tensile fractures which are collected from Grasselli (2003) are used to verify the proposed model. It is seen that the proposed model has a reliable estimate of the peak shear strength of tensile fractures and presumably for rock joints.

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3D laser imaging for surface roughness analysis

Cited by 76 publications

References 18 publications

Using Video Acquired from an Unmanned Aerial Vehicle (UAV) to Measure Fracture Orientation in an Open-Pit Mine

Using Video Acquired from an Unmanned Aerial Vehicle (UAV) to Measure Fracture Orientation in an Open-Pit Mine

A region-growing approach for automatic outcrop fracture extraction from a three-dimensional point cloud

Experimental Study on Peak Shear Strength Criterion for Rock Joints

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