Spatial Topology Identification of Three-Dimensional Complex Block System of Rock Masses

Fu, Xiaodong; Sheng, Qian; Wang, Liwei; Chen, Jian; Zhu, Zhenping; Du, Yonggang; Du, Wenjie

doi:10.1061/(asce)gm.1943-5622.0001522

Cited by 10 publications

(5 citation statements)

References 45 publications

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“…In the second step, geometric boundaries of the rock collapse, deterministic discontinuities, and random structural planes are input and the rock block system model is formed using a block-cutting algorithm. The 3D joint network generation algorithm and the block-cutting algorithm are detailed by Fu et al (2019b). Figure 9A shows the reproduced random structural planes of a rock collapse in District C of the rockfall case, and Figure 9B illustrates the corresponding rock block system model, wherein there are 638 blocks, and the total volume of the rock that collapsed is 3,840 m 3 .…”

Section: Block System Model Of the Dangerous Rock Massesmentioning

confidence: 99%

Reproduction Method of Rockfall Geologic Hazards Based on Oblique Photography and Three-Dimensional Discontinuous Deformation Analysis

Ding

Sheng

et al. 2021

Front. Earth Sci.

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Rockfall geologic hazards are widely distributed. Due to their concealed nature, rockfalls are difficult to investigate using traditional contact survey methods, and the hazards they pose affect major projects and people’s safety. Reproducing methods, including scene survey and movement process analysis, are primary tasks used to prevent these hazards; however, few reconstruction methods can directly apply the parameters of the rockfall geologic hazards obtained by the scene survey to evaluate the movement process. To address this problem, a method of reproduction based on oblique photography and three-dimensional discontinuous deformation analysis (3D-DDA) is proposed; the method consists of three key techniques (oblique photography, 3D rock block system modeling, and 3D rock block system analysis). First, geometric characteristic parameters of the terrain, rockfall, and discontinuities are extracted based on oblique photography using an unmanned aerial vehicle (UAV). Second, the block system model of rockfall is reconstructed by using 3D computational geometry theory and taking these geometric characteristic parameters as an input. Finally, the whole evolution process of rockfall geologic hazard, including initiation, movement, and accumulation, is simulated by the 3D-DDA method. To verify the practicability of this reproduction method, a typical rockfall geologic hazard, located in the K8 + 050 section of the Gaohai expressway, Yunnan, China, is studied. In addition, the characteristics of 19 dangerous rock masses in the survey area are clarified, and the geometric features of the discontinuities in the rock masses are extracted based on oblique photography using an UAV. The block system model of a potential rockfall is reconstructed, the movement trajectory is simulated by the 3D-DDA method, and the evolution process of velocity and kinetic energy of the rockfall verifies that the spatial layout of the current three-level passive protective nets system is reasonable. The case study indicates that the proposed method provides a geological and mechanical model for the risk assessment of rockfall geologic hazards.

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Section: Block System Model Of the Dangerous Rock Massesmentioning

confidence: 99%

Reproduction Method of Rockfall Geologic Hazards Based on Oblique Photography and Three-Dimensional Discontinuous Deformation Analysis

Ding

Sheng

et al. 2021

Front. Earth Sci.

Self Cite

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“…Due to tectonic movements and widespread geological processes, joints observed in nature are mostly rectangular or polygonal 22–24 . Based on these findings, rectangular and polygonal joint models have been developed to simulate the shape of joints more realistically and have made extensive applications 25–29 …”

Section: Introductionmentioning

confidence: 99%

“…[22][23][24] Based on these findings, rectangular and polygonal joint models have been developed to simulate the shape of joints more realistically and have made extensive applications. [25][26][27][28][29] Accurate acquisition of the joint distribution parameters is key to the establishment of the DFN. Consequently, many in-situ measurement methods are proposed to obtain the joint parameters.…”

mentioning

confidence: 99%

A precise modeling method of three‐dimensional discrete fracture network based on rectangular joint model

Kang,

Fu,

Sheng

et al. 2024

Num Anal Meth Geomechanics

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As the weak structure and main seepage channel of rock mass, the discrete fracture network (DFN) has a significant influence on the physical and mechanical properties of rock mass. In this paper, based on the rectangular joint model, two algorithms are proposed to realize the precise modeling of the DFN in any polyhedron. First, the equivalence of DFN modeling with the rectangular joint model and the elliptical joint model is theoretically deduced. On this basis, the chain splicing algorithm suitable for the rectangular joint model is proposed, which can generate the DFN model according to the actual distribution of joint spacing, trace, and bridge length. Aiming at the concave boundary in the model domain, the segmentation‐stitching operation is put forward, and the continuity of the joint when passing through the interface is ensured. Finally, the effectiveness of the above algorithm is verified by several simple cases, and the relationship between the size of the geometrical representative elementary volume (REV) and discontinuity parameters is discussed. The results show that when the mean values of the joint distribution parameters are the same, even if the distribution rules are different, the number of joints generated in the same spatial region is approximately equal. The size of the geometrical REV is independent of the spacing and bridge length and is approximately three to five times the mean of the trace. The relevant algorithms and conclusions in this paper can be used as the basis for subsequent rock mass stability analysis and seepage calculation.

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“…Li et al [19] coupled a network of polygonal fractures with a large-scale geological model to establish a refined model of the rock structure to identify and analyze random blocks. Fu et al [20] introduced a statistical method for generating 3D polygonal fractures in order to identify a Complex Block System. Pan et al [21] used an improved control circle algorithm to describe the spatial dimensions and shapes of fractures, and used this to establish a fracture network to provide a base model for the simulation-based analysis of the diffusion of grout.…”

Section: Introductionmentioning

confidence: 99%

Simulation Method and Application of Three-Dimensional DFN for Rock Mass Based on Monte-Carlo Technique

et al. 2022

Applied Sciences

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In this study, the authors simulate a polygonal discrete fracture network (DFN) in rock masses. The probability models of the relevant geological parameters, including the orientation, trace length, volume density, and coordinates of the centroid, are firstly developed as fractures are in the shape of rectangles. In the process, the probability distribution of rectangular fractures with side lengths as random variables is introduced and described in terms of mean trace lengths on the basis of the probability model of disk-shaped fracture with the diameter as the random variable. The relationship between the volume density and the linear density of rectangular fractures is given for a negative exponential distribution. Following this, the coordinates of the vertices of fractures are derived based on spatial algebraic geometry, and the data for the three-dimensional DFN model are generated using the Monte-Carlo technique. The resulting three-dimensional DFN is visualized by calling the Open GL graphics database in the environment of Visual C, and the process of implementation of the DFN simulation is given. Finally, the validity of the simulation is verified by applying it to engineering practice.

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Spatial Topology Identification of Three-Dimensional Complex Block System of Rock Masses

Cited by 10 publications

References 45 publications

Reproduction Method of Rockfall Geologic Hazards Based on Oblique Photography and Three-Dimensional Discontinuous Deformation Analysis

Reproduction Method of Rockfall Geologic Hazards Based on Oblique Photography and Three-Dimensional Discontinuous Deformation Analysis

A precise modeling method of three‐dimensional discrete fracture network based on rectangular joint model

Simulation Method and Application of Three-Dimensional DFN for Rock Mass Based on Monte-Carlo Technique

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