[HTML][HTML] Proposition of UAV multi-angle nap-of-the-object image acquisition framework based on a quality evaluation system for a 3D real scene model of a high-steep …

M Zhao, J Chen, S Song, Y Li, F Wang, S Wang… - International Journal of …, 2023 - Elsevier
The 3D real scene model of high-steep rock slope established based on UAV image
provides convenience for non-contact identification and interpretation of rock mass …

[HTML][HTML] A method to interpret fracture aperture of rock slope using adaptive shape and unmanned aerial vehicle multi-angle nap-of-the-object photogrammetry

M Zhao, S Song, F Wang, C Zhu, D Liu… - Journal of Rock Mechanics …, 2024 - Elsevier
The aperture of natural rock fractures significantly affects the deformation and strength
properties of rock masses, as well as the hydrodynamic properties of fractured rock masses …

[HTML][HTML] Characterization and clustering of rock discontinuity sets: A review

C Pu, J Zhan, W Zhang, J Peng - Journal of Rock Mechanics and …, 2024 - Elsevier
The characterization and clustering of rock discontinuity sets are a crucial and challenging
task in rock mechanics and geotechnical engineering. Over the past few decades, the …

Development and application of an intelligent robot for rock mass structure detection: A case study of Letuan tunnel in Shandong, China

C Qin, C Ma, L Li, X Sun, Z Liu, Z Sun - International Journal of Rock …, 2023 - Elsevier
Determining the rock mass structure of an excavation face is important for the safe
construction of tunnels. Traditional artificial detection poses a threat to personnel and …

[HTML][HTML] Utilizing semantic-level computer vision for fracture trace characterization of hard rock pillars in underground space

C Li, J Zhou, D Dias - Geoscience Frontiers, 2024 - Elsevier
This study utilizes a semantic-level computer vision-based detection to characterize fracture
traces of hard rock pillars in underground space. The trace images captured by …

Joint characterization of sentinel-2 reflectance: Insights from manifold learning

D Sousa, C Small - Remote Sensing, 2022 - mdpi.com
Most applications of multispectral imaging are explicitly or implicitly dependent on the
dimensionality and topology of the spectral mixing space. Mixing space characterization …

[HTML][HTML] Artificial intelligence-aided semi-automatic joint trace detection from textured three-dimensional models of rock mass

S Mehrishal, J Kim, Y Shao, JJ Song - Journal of Rock Mechanics and …, 2024 - Elsevier
It is of great importance to obtain precise trace data, as traces are frequently the sole visible
and measurable parameter in most outcrops. The manual recognition and detection of …

[HTML][HTML] Delineating homogeneous domains of fractured rocks using topological manifolds and deep learning

Y Liu, J Chen, F Zhou, J Zhan, W Xu, J Yan - Journal of Rock Mechanics …, 2024 - Elsevier
Determining homogeneous domains statistically is helpful for engineering geological
modeling and rock mass stability evaluation. In this text, a technique that can integrate …

[HTML][HTML] Three-dimensional finite element simulation and reconstruction of jointed rock models using CT scanning and photogrammetry

Y Lang, Z Liang, Z Dong - Journal of Rock Mechanics and Geotechnical …, 2024 - Elsevier
The geometry of joints has a significant influence on the mechanical properties of rocks. To
simplify the curved joint shapes in rocks, the joint shape is usually treated as straight lines or …

[HTML][HTML] Rainfall–mining coupling effects on slope failure mechanism and evolution process: A case study of open-pit to underground mining

Q Li, Y Wang, X Li, B Gong - Water, 2024 - mdpi.com
This research examines how rainfall and mining affect the slope damage resulting from the
transition from open-pit mining to underground mining. Using an unmanned aerial vehicle …