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UAV-Based Simulation of 3D Random Discontinuity Networks in Rock Slopes
https://orcid.org/http://orcid.org/0000-0001-5756-6257
This paper presents an automated method for establishing a three-dimensional (3D) random discontinuity network from data acquisition to network construction using Aerial Vehicle (UAV). The characteristic of this method is: that it utilizes UAV for all-around data collection and employs the self-developed program Facet Detect for rapid and precise identification of discontinuities. The method not only enables 3D random discontinuity network modeling based on more comprehensive data but also improves the speed and accuracy of modeling. The proposed approach is built on a five-stage procedure that includes: (1) extensive image acquisition using an Unmanned Aerial Vehicle (UAV), (2) automatic identification of rock mass discontinuities using the self-developed program Facet Detect based on the Improved Region-Growing Algorithm, (3) trace length and spacing interpretation based on analytic geometry, (4) 3D random discontinuity network modeling using the Monte-Carlo principle, (5) verification of the model's validity through both graphical and numerical tests. A case study of a rock slope in Guishan Park is presented using the proposed method. A 3D random discontinuity network model was created using statistical analysis of geometric parameters including orientation, trace length, and spacing for the 261 discontinuities. The validity of the model was evaluated through graphical and numerical tests. The method is demonstrated to be reliable and much simpler compared to conventional methods. The method described in this paper can be applied in engineering practice, providing a theoretical basis and reference for determining the three-dimensional strength of rocks in the slope, size effect analyses and stability analyses of rock slopes.
UAV-Based Simulation of 3D Random Discontinuity Networks in Rock Slopes
https://orcid.org/http://orcid.org/0000-0001-5756-6257
This paper presents an automated method for establishing a three-dimensional (3D) random discontinuity network from data acquisition to network construction using Aerial Vehicle (UAV). The characteristic of this method is: that it utilizes UAV for all-around data collection and employs the self-developed program Facet Detect for rapid and precise identification of discontinuities. The method not only enables 3D random discontinuity network modeling based on more comprehensive data but also improves the speed and accuracy of modeling. The proposed approach is built on a five-stage procedure that includes: (1) extensive image acquisition using an Unmanned Aerial Vehicle (UAV), (2) automatic identification of rock mass discontinuities using the self-developed program Facet Detect based on the Improved Region-Growing Algorithm, (3) trace length and spacing interpretation based on analytic geometry, (4) 3D random discontinuity network modeling using the Monte-Carlo principle, (5) verification of the model's validity through both graphical and numerical tests. A case study of a rock slope in Guishan Park is presented using the proposed method. A 3D random discontinuity network model was created using statistical analysis of geometric parameters including orientation, trace length, and spacing for the 261 discontinuities. The validity of the model was evaluated through graphical and numerical tests. The method is demonstrated to be reliable and much simpler compared to conventional methods. The method described in this paper can be applied in engineering practice, providing a theoretical basis and reference for determining the three-dimensional strength of rocks in the slope, size effect analyses and stability analyses of rock slopes.
UAV-Based Simulation of 3D Random Discontinuity Networks in Rock Slopes
https://orcid.org/http://orcid.org/0000-0001-5756-6257
This paper presents an automated method for establishing a three-dimensional (3D) random discontinuity network from data acquisition to network construction using Aerial Vehicle (UAV). The characteristic of this method is: that it utilizes UAV for all-around data collection and employs the self-developed program Facet Detect for rapid and precise identification of discontinuities. The method not only enables 3D random discontinuity network modeling based on more comprehensive data but also improves the speed and accuracy of modeling. The proposed approach is built on a five-stage procedure that includes: (1) extensive image acquisition using an Unmanned Aerial Vehicle (UAV), (2) automatic identification of rock mass discontinuities using the self-developed program Facet Detect based on the Improved Region-Growing Algorithm, (3) trace length and spacing interpretation based on analytic geometry, (4) 3D random discontinuity network modeling using the Monte-Carlo principle, (5) verification of the model's validity through both graphical and numerical tests. A case study of a rock slope in Guishan Park is presented using the proposed method. A 3D random discontinuity network model was created using statistical analysis of geometric parameters including orientation, trace length, and spacing for the 261 discontinuities. The validity of the model was evaluated through graphical and numerical tests. The method is demonstrated to be reliable and much simpler compared to conventional methods. The method described in this paper can be applied in engineering practice, providing a theoretical basis and reference for determining the three-dimensional strength of rocks in the slope, size effect analyses and stability analyses of rock slopes.
UAV-Based Simulation of 3D Random Discontinuity Networks in Rock Slopes
Geotech Geol Eng
Chen, Na (author) / Liu, Zhi-Wei (author) / Xiao, Heng-Lin (author) / Li, Li-Hua (author)
2025-01-01
Article (Journal)
Electronic Resource
English
UAV , Rock slope , 3D random discontinuities network , Automated rock-mass characterization , Improved Region-Growing Information and Computing Sciences , Artificial Intelligence and Image Processing , Mathematical Sciences , Statistics , Earth Sciences , Geotechnical Engineering & Applied Earth Sciences , Hydrogeology , Terrestrial Pollution , Waste Management/Waste Technology , Civil Engineering , Earth and Environmental Science
UAV-Based Simulation of 3D Random Discontinuity Networks in Rock Slopes
| Springer Verlag | 2025
Method for Automated Discontinuity Analysis of Rock Slopes with Three-Dimensional Laser Scanning
| British Library Online Contents | 2005
The effective failure modes and stability of slopes in rock mass with two discontinuity sets
| Springer Verlag | 1989