Journal
CHAOS SOLITONS & FRACTALS
Volume 129, Issue -, Pages 71-76Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2019.07.055
Keywords
Fractal; Statistic; Head/tail break; Self-similarity; Quantification
Categories
Funding
- National Natural Science Foundation of China [11702094, 51604114, 51804157]
- North China Institute of Science and Technology Applied Mathematics Innovation Team [3142018059, 3142016023]
- Scientific and Technological Research Project of Hebei Province [162776449]
- China coal industry association science and technology research guidance project [MTKJ2017-310]
- Data science and application key laboratory open subject of Hebei province [HBSJQ0706]
- Scientific and Technological Research Project of Langfang [2016013113]
- CSC Funds [201808130268]
- North China Institute of Science and Technology Key Discipline Construction Funds [HKXJZD201402]
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Rock fracture network description and characterization are of fundamental importance in rock engineering, such as coal mining, shale gas development and slope stability. Due to the complexity of rock fracture networks, it is impossible to describe all the fracture features individually. The purpose of this paper is to discuss the state of the art of the development in rock fracture network descriptions using traditional geometry and fractal methods. Advantages and disadvantages of each method are analyzed. Based on the analysis of fractal dimension shortage, a new characterization method is proposed. This method has higher measurement accuracy along with self-similar characteristics of fractal stuffs and the head/tail break method to avoid problems existing in previous fractal quantification methods. Two 2D coal fracture samples are used to examine this method. (C) 2019 Elsevier Ltd. All rights reserved.
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