Laboratory-Scale Insight into Fractal Dimension Indicators for Seismic Hazard Assessment Associated with Rock Failures

Investigation of acoustic emission (AE) characteristics during laboratory tests of coal samples can provide useful guidance on the recognition of microseismicity (MS) precursors for seismic hazards in underground coal mining. In this study, a methodology, involving fractal dimension indices and a fu...

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Bibliographic Details
Published in:Shock and vibration 2022-05, Vol.2022, p.1-8
Main Author: Cai, Wu
Format: Article
Language:English
Subjects:
Acoustic emission testing
Boxes
Clustering
Coal
Coal industry
Coal mining
Earthquake prediction
Earthquakes
Emission analysis
Energy
Equipment and supplies
Failure
Failure analysis
Forecasts and trends
Fractal geometry
Fractals
Hazard assessment
Laboratories
Laboratory equipment
Laboratory tests
Methodology
Mines and mineral resources
Precursors
Recognition
Risk levels
Seismic hazard
Seismology
Underground mining
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Summary:Investigation of acoustic emission (AE) characteristics during laboratory tests of coal samples can provide useful guidance on the recognition of microseismicity (MS) precursors for seismic hazards in underground coal mining. In this study, a methodology, involving fractal dimension indices and a fuzzy comprehensive evaluation model, was developed and demonstrated using AE monitoring data in a uniaxial loading test of coal samples, which allows for a better and quantitative recognition of AE/MS precursors to seismic hazards associated with rock failures. In this methodology, the fractal dimension indices include six information dimension indices as well as three previously used capacity dimension indices. The assessment results were initially characterised as probabilities belonging to each of four risk levels (none, weak, moderate, and strong), and then output as a comprehensive result corresponding to one of these four risk levels. The results indicated that this developed methodology was able to recognise the AE precursors for rock failures.
ISSN:1070-9622
1875-9203
DOI:10.1155/2022/7600449