A new method for automated discontinuity trace mapping on rock mass 3D surface model

Li, Xiao Jun; Chen, Jianqin; Zhu, Hehua

doi:10.1016/j.cageo.2015.12.010

Cited by 96 publications

(28 citation statements)

References 27 publications

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“…Fracture mapping is the fundamental method for forecasting the number of marketable dimension stones [43]. In the last two decades, fracture trace mapping evolved from 2D manual to 3D automatic or semi-automatic methods, based on digital models [44][45][46]. These methods are particularly effective when the digital model's point density is so high that its surface represents the actual shape of traces.…”

Section: Recent Developments In the Characterization Of Fracturing Stmentioning

confidence: 99%

New Developments for Sustainable Exploitation of Ornamental Stone in Carrara Basin

Vagnon¹,

Dino²,

Umili³

et al. 2020

Preprint

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The use of natural stone has a historical and environmental value that makes it strategically valuable for landscape conservation in Europe. Marble, among others, is widely spread on Earth, and it offers high-performance features in architectural applications. However, the complexity of these formations and the rock variability in different ore bodies require detailed studies of the natural and induced stress state, the fracturing degree, and the influence of external factor (such as temperature and/or chemical agents) on the mechanical properties in order to optimize the exploitation processes by reducing extractive waste. This article shows a series of studies conducted by the authors over the last 20 years aimed at making the exploitation of marble blocks in the Carrara basin safer, more efficient, and, therefore, more sustainable. In particular, studies for increasing the knowledge on the natural and the induced stress state through on-site measurements and numerical modeling, studies to improve the quality of the exploited material through improvements of cutting technologies, studies to improve the knowledge of the mechanical behavior of the material under varying loads and temperature conditions and studies to improve the reuse of water materials and their reduction are reported.

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Section: Recent Developments In the Characterization Of Fracturing Stmentioning

confidence: 99%

New Developments for Sustainable Exploitation of Ornamental Stone in Carrara Basin

Vagnon¹,

Dino²,

Umili³

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…In the past decade, remote surveying technology has made significant progress in rapidly acquiring 3D high-resolution digital images [ 2 ]. It is commonplace to characterize rock mass surfaces through digital photogrammetry [ 5 , 6 ], light detection and ranging (LiDAR) [ 7 ], Interferometric Synthetic Aperture Radar (INSAR) interferometry [ 8 ], 3D laser scanning [ 9 , 10 ], and unmanned aerial vehicles (UAVs) [ 10 , 11 ]. These techniques are suitable to measure variety of processes according to their own features.…”

Section: Introductionmentioning

confidence: 99%

A Rapid Method of the Rock Mass Surface Reconstruction for Surface Deformation Detection at Close Range

Bai

et al. 2020

Sensors

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Characterizing the surface deformation during the inter-survey period could assist in understanding rock mass progressive failure processes. Moreover, 3D reconstruction of rock mass surface is a crucial step in surface deformation detection. This study presents a method to reconstruct the rock mass surface at close range in a fast way using the improved structure from motion—multi view stereo (SfM) algorithm for surface deformation detection. To adapt the unique feature of rock mass surface, the AKAZE algorithm with the best performance in rock mass feature detection is introduced to improve SfM. The surface reconstructing procedure mainly consists of image acquisition, feature point detection, sparse reconstruction, and dense reconstruction. Hereafter, the proposed method was verified by three experiments. Experiment 1 showed that this method effectively reconstructed the rock mass model. Experiment 2 proved the advanced accuracy of the improved SfM compared with the traditional one in reconstructing the rock mass surface. Eventually, in Experiment 3, the surface deformation of rock mass was quantified through reconstructing images before and after the disturbance. All results have shown that the proposed method could provide reliable information in rock mass surface reconstruction and deformation detection.

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“…Structural and geomechanical surveys are usually the first step in the analysis of rock slopes [6][7][8][9][10]. Using this approach, it is possible to understand the characteristics of rock masses and the kinematic relationship between the rock slope and discontinuities.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy

et al. 2019

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This research aims to highlight the importance of adopting a multi-disciplinary approach to understanding the factors controlling large rock avalanches using the Scanno landslide, Italy, as a case study. The study area is the Mount Genzana, Abruzzi Central Apennines, characterized by the regional Difesa-Mount Genzana-Vallone delle Masserie fault zone. The Scanno landslide is famous for its role in the formation of the Scanno Lake. The landslide is characterized by a wide exposed scar, which was interpreted in previous studies as the intersection of high-angle joints and an outcropping bedding plane on which the landslide failed sometime between the Upper Pleistocene and the Holocene. In this study, the Scanno landslide was investigated through the integration of geological, geomechanical and geomorphological surveys. Remote sensing techniques were used to enrich the conventionally gathered datasets, while Geographic Information Systems (GIS) were used to integrate, manage and investigate the data. The results of the authors investigation show that the outcropping landslide scar can be interpreted as a low-angle fault, associated with the Difesa-Mount Genzana-Vallone delle Masserie fault zone, which differs from previous investigations and interpretations of the area. The low-angle fault provides the basal failure surface of the landslide, with two systematic high-angle joint sets acting as lateral release and back scarp surfaces, respectively. In light of these new findings, pre- and post-failure models of the area have been created. The models were generated in GIS by combining LiDAR (Light Detection and Ranging) and geophysics data acquired on the landslide body and through bathymetric survey data of the Scanno Lake. Using the pre- and post-failure models it was possible to estimate the approximate volume of the landslide. Finally, back-analyses using static and dynamic limit equilibrium methods is also used to show the possible influence of medium-to-high magnitude seismic events in triggering the Scanno landslide.

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A new method for automated discontinuity trace mapping on rock mass 3D surface model

Cited by 96 publications

References 27 publications

New Developments for Sustainable Exploitation of Ornamental Stone in Carrara Basin

New Developments for Sustainable Exploitation of Ornamental Stone in Carrara Basin

A Rapid Method of the Rock Mass Surface Reconstruction for Surface Deformation Detection at Close Range

A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy

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