Rapid mapping and analysing rock mass discontinuities with 3D terrestrial laser scanning in the underground excavation

Chen, Siwei; Walske, Megan L.; Davies, Ian J.

doi:10.1016/j.ijrmms.2018.07.012

Cited by 48 publications

(23 citation statements)

References 33 publications

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“…As shown in Figure 9, case B was a portion of a rock slope, which covers an area of approximately 6 m 2 with an average point spacing of 0.0055 m. After classifying points to discontinuities, the RANSAC plane fitting algorithm considers the volatility and produces an objective estimate of the discontinuity orientations. Details of the RANSAC method have been introduced in reference [8]. Figure 9(b) shows the result of the automatic grouping of the discontinuities.…”

Section: Case Bmentioning

confidence: 99%

“…Chen et al [7] presented a new method for extracting discontinuity orientation automatically from rock mass surface 3D point cloud. Chen et al [8] discussed the accuracy of the 3D laser scanning technique and demonstrated the potential of 3D laser scanning techniques to replace traditional window mapping. Idrees and Pradhan [9] investigated the influence of rock geostructure on cave channel development.…”

Section: Introductionmentioning

confidence: 99%

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Automatic Extraction of Rock Discontinuities from the Point Cloud Using Dynamic DBSCAN Algorithm

Tang¹,

Yang²,

Huang³

et al. 2022

Advances in Civil Engineering

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Detection and mapping of rock discontinuities are important during excavation. The terrestrial laser scanning (TSL) technology is widely used to acquire accurate quantitative. However, there is rarely study about the influence of discontinuities parameters on the detection. Through the 3D printing technology, we have built discontinuity models with different roughness and connectors with different angles. Therefore, we can control the variables in the scanning. Several open-source packages were applied to derive the information from the point cloud acquired by TSL. The result shows that the recognition effect decreases with the angle between discontinuities. Moreover, the presence of roughness of discontinuity makes it prone to lead to lousy classification in the detection process. The proposed method has successfully extracted discontinuity dip, dip direction, and roughness automatically from the point cloud. The application on the two datasets showed great adaptability and accuracy. Consequently, the method could meet realistic engineering needs.

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Section: Case Bmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automatic Extraction of Rock Discontinuities from the Point Cloud Using Dynamic DBSCAN Algorithm

Tang¹,

Yang²,

Huang³

et al. 2022

Advances in Civil Engineering

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“…It provides a better understanding of the teaching and learning process. Chen et al [32] identified that laser 3D scanning is useful for identifying and analyzing underground spaces. They presented a semi-automatic laser scanning method for rock mass characterization.…”

Section: Literature Reviewmentioning

confidence: 99%

3D scanning of a carburetor body using COMET 3D scanner supported by COLIN 3D software: Issues and solutions

Haleem

Gupta

Bahl

et al. 2021

Materials Today: Proceedings

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Nowadays, the industry uses 3D Scanners for reverse engineering, new product design, rapid manufacturing, multimedia, architecture, inspection, and quality control. The scanning process converts a real object into a digital format. This paper's essential purpose is to show the use of a 3D blue light Scanner/COMET 3D to redesign a carburetor body. The paper identifies different issues involved in the processes to help future users. COMET 3D does scanning of the carburetor body by which COLIN 3D software is used for measurements, editing, and analyzing of the acquired point clouds data. This paper also identifies the necessary steps to undertake 3D Scanning and part dimensioning for a carburetor body. It also discusses the error/problems that occurred during the process. The applications of non-contact blue light 3D Scanners are many as they can be innovatively used to redesign an existing part, architecture designing, and reducing production cycle time, biomedical and associated applications. This paper's contribution lies in achieving a step-by-step procedure of scanning any three-dimensional object as this helps in understanding the 3D scanning hardware and support software. It provides good knowledge of how to resolve the issues that can cause an error during the measurement of the surfaces and scan objects.

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“…The individual scans were registered together to make a unified dataset in the point cloud processing software Leica Cyclone. The hardware used was a Leica C10 laser scanner, as used in other underground studies such as Ganić et al (2011), Chen et al (2018 and Long et al (2018). This instrument has a specified accuracy of ± 6mm per point (Long et al, 2018) and the scan resolution at the chosen setting provides a point spacing of 5mm at 5m from the scanner.…”

Section: Datasetsmentioning

confidence: 99%

A machine learning approach for the detection of supporting rock bolts from laser scan data in an underground mine

Gallwey

Eyre

Coggan

2021

Tunnelling and Underground Space Technology

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Rapid mapping and analysing rock mass discontinuities with 3D terrestrial laser scanning in the underground excavation

Cited by 48 publications

References 33 publications

Automatic Extraction of Rock Discontinuities from the Point Cloud Using Dynamic DBSCAN Algorithm

Automatic Extraction of Rock Discontinuities from the Point Cloud Using Dynamic DBSCAN Algorithm

3D scanning of a carburetor body using COMET 3D scanner supported by COLIN 3D software: Issues and solutions

A machine learning approach for the detection of supporting rock bolts from laser scan data in an underground mine

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