首页|Development of an improved three-dimensional rough discrete fracture network model:Method and application

Development of an improved three-dimensional rough discrete fracture network model:Method and application

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Structure plane is one of the important factors affecting the stability and failure mode of rock mass engi-neering.Rock mass structure characterization is the basic work of rock mechanics research and the important content of numerical simulation.A new 3-dimensional rough discrete fracture network(RDFN3D)model and its modeling method based on the Weierstrass-Mandelbrot(W-M)function were presented in this paper.The RDFN3D model,which improves and unifies the modelling methods for the complex structural planes,has been realized.The influence of fractal dimension,amplitude,and sur-face precision on the modeling parameters of RDFN3D was discussed.The reasonable W-M parameters suitable for the roughness coefficient of JRC were proposed,and the relationship between the mathemat-ical model and the joint characterization was established.The RDFN3D together with the smooth 3-dimensional discrete fracture network(DFN3D)models were successfully exported to the drawing exchange format,which will provide a wide application in numerous numerical simulation codes includ-ing both the continuous and discontinuous methods.The numerical models were discussed using the COMSOL Multiphysics code and the 3-dimensional particle flow code,respectively.The reliability of the RDFN3D model was preliminarily discussed and analyzed.The roughness and spatial connectivity of the fracture networks have a dominant effect on the fluid flow patterns.The research results can pro-vide a new geological model and analysis model for numerical simulation and engineering analysis of jointed rock mass.

Jointed rock massDiscrete fracture networkRoughnessWeierstrass-Mandelbrot function3D modelingRock mechanics

Peitao Wang、Chi Ma、Bo Zhang、Qi Gou、Wenhui Tan、Meifeng Cai

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Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine,University of Science and Technology Beijing,Beijing 100083,China

State Key Laboratory of Water Resource Protection and Utilization in Coal Mining,CHN Energy Shendong Coal Group Co.,Ltd.,Beijing 102201,China

School of Civil and Resources Engineering,University of Science and Technology Beijing,Beijing 100083,China

National Key R&D Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaOpen Fund of State Key Laboratory of Water Resource Protection and Utilization in Coal MiningInterdisciplinary Research Project for Young Teachers of USTB(Fundamental Research Funds for the Central Universities)Natural Science Foundation of Jiangsu Province,China

2021YFC29005005207402042202306WPUKFJJ2019-06FRF-IDRY-21-001BK20200993

2023

10.1016/j.ijmst.2023.10.004

矿业科学技术学报(英文版)
中国矿业大学

矿业科学技术学报(英文版)

CSTPCDCSCDEI
影响因子：1.222
ISSN：2095-2686
年,卷(期)：2023.33(12)
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