Time Fractal Behavior of Microseismic Events for Different Intensities of Immediate Rock Bursts
Publication: International Journal of Geomechanics
Volume 18, Issue 7
Abstract
A fractal calculation method was developed to investigate the self-similarity of the time distribution of microseismic events during the evolution of rock bursts. Microseismic data, which were utilized for back-analysis after the rock burst, were collected corresponding to different intensities of immediate rock bursts, occurring in the deeply buried headrace tunnels of Jinping-II Hydropower Station in Sichuan Province, China. The overburden depths of the tunnels are between 1,800 and 2,500 m, where the maximum principal stress reaches 65 MPa in a rock mass mainly comprising Baishan Group marble. The results are as follows: The time distribution of microseismic events during the evolution of immediate rock bursts was found to display fractal properties. If the intensities of rock bursts were lower, the time fractal dimensions were smaller (weak rock bursts < moderate rock bursts < intense rock bursts). The time fractal dimensions can be used as a basis for evaluating rock-burst intensities. Time fractal dimensions correspond to intense rock bursts (>1.6), moderate rock bursts (1.1–1.6), and weak rock bursts (<1.1). The daily time fractal dimensions of microseismic events increased during the process of immediate rock bursts but were significantly reduced before the rock burst occurred. On this basis, the time distribution of microseismic events has the potential to be used as a rock-burst predictor, and the microseismic events time fractal dimension can provide a basis for establishing a warning index and reduce the risk of rock bursts in deep tunnels.
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Acknowledgments
The authors acknowledge the National Natural Science Foundation of China under Grant 51509092, the Fund of Jiangxi Province Grant 20161BAB216141, funding from the Jiangxi Province Department of Traffic (Grant 2017D0036), and the Fund of State Key Laboratories of Geomechanics and Geotechnical Engineering (Grant Z015004). The original monitoring data were derived from the State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan. The authors thank Professors Feng Xia-ting, Chen Bing-rui, Zhou Hui, Li Shao-jun, and Zhang Chuan-qing, who gave support during the microseismicity monitoring.
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Published In
International Journal of Geomechanics
Volume 18 • Issue 7 • July 2018
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© 2018 American Society of Civil Engineers.
History
Received: Nov 1, 2016
Accepted: Feb 27, 2018
Published online: May 9, 2018
Published in print: Jul 1, 2018
Discussion open until: Oct 9, 2018
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