Fractal Characteristics of the Spatial Distribution of Mine Earthquake Sources in the Vicinity of a Fault: A Case Study in the Ashele Copper Mine
Potential faults are common sensitive geological bodies that affect the safe mining of underground mines, often leading to major accidents such as rock instability and rockburst during mining. The failure mechanism of faults has been widely studied. However, due to the spatiotemporal specificity of...
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MDPI AG
2024-12-01
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author | Congcong Zhao Shigen Fu Yinghua Huang |
author_facet | Congcong Zhao Shigen Fu Yinghua Huang |
author_sort | Congcong Zhao |
collection | DOAJ |
description | Potential faults are common sensitive geological bodies that affect the safe mining of underground mines, often leading to major accidents such as rock instability and rockburst during mining. The failure mechanism of faults has been widely studied. However, due to the spatiotemporal specificity of fault occurrence, there are few theoretical and mathematical methods suitable for effective analysis in mine safety risk management. This study aims to introduce fractal theory to characterize the spatiotemporal activity fractal characteristics of induced faults intersecting the mining site and roadway during the mining process of the Ashele copper mine in China. Using microseismic systems and fractal theory, a spatiotemporal fractal model of the fault slip process is constructed, and a fractal analysis method is proposed. The fractal dimension value is calculated based on the spatiotemporal parameters of different segments and stages. The fractal dimension is used to characterize and analyze the evolution of the fault. The physical formation process of potential faults and the relationship between fractal dimension values and multiple parameters, including spatial clustering, regional distribution characteristics, and energy-release characteristics, were analyzed based on the division of events into different time stages. Discovering fractal dimension’s temporal and spatial–temporal characteristics can provide technical references for mine disaster prevention. |
format | Article |
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institution | Kabale University |
issn | 2504-3110 |
language | English |
publishDate | 2024-12-01 |
publisher | MDPI AG |
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series | Fractal and Fractional |
spelling | doaj-art-b405de6b08d34d8dbee73ada63912cbd2025-01-24T13:33:20ZengMDPI AGFractal and Fractional2504-31102024-12-0191310.3390/fractalfract9010003Fractal Characteristics of the Spatial Distribution of Mine Earthquake Sources in the Vicinity of a Fault: A Case Study in the Ashele Copper MineCongcong Zhao0Shigen Fu1Yinghua Huang2School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaChina Academy of Safety Science and Technology, Beijing 100012, ChinaSchool of Resources and Safety Engineering, Central South University, Changsha 410083, ChinaPotential faults are common sensitive geological bodies that affect the safe mining of underground mines, often leading to major accidents such as rock instability and rockburst during mining. The failure mechanism of faults has been widely studied. However, due to the spatiotemporal specificity of fault occurrence, there are few theoretical and mathematical methods suitable for effective analysis in mine safety risk management. This study aims to introduce fractal theory to characterize the spatiotemporal activity fractal characteristics of induced faults intersecting the mining site and roadway during the mining process of the Ashele copper mine in China. Using microseismic systems and fractal theory, a spatiotemporal fractal model of the fault slip process is constructed, and a fractal analysis method is proposed. The fractal dimension value is calculated based on the spatiotemporal parameters of different segments and stages. The fractal dimension is used to characterize and analyze the evolution of the fault. The physical formation process of potential faults and the relationship between fractal dimension values and multiple parameters, including spatial clustering, regional distribution characteristics, and energy-release characteristics, were analyzed based on the division of events into different time stages. Discovering fractal dimension’s temporal and spatial–temporal characteristics can provide technical references for mine disaster prevention.https://www.mdpi.com/2504-3110/9/1/3fractal dimensionspatial distributionpotential minor faultmine earthquake source |
spellingShingle | Congcong Zhao Shigen Fu Yinghua Huang Fractal Characteristics of the Spatial Distribution of Mine Earthquake Sources in the Vicinity of a Fault: A Case Study in the Ashele Copper Mine Fractal and Fractional fractal dimension spatial distribution potential minor fault mine earthquake source |
title | Fractal Characteristics of the Spatial Distribution of Mine Earthquake Sources in the Vicinity of a Fault: A Case Study in the Ashele Copper Mine |
title_full | Fractal Characteristics of the Spatial Distribution of Mine Earthquake Sources in the Vicinity of a Fault: A Case Study in the Ashele Copper Mine |
title_fullStr | Fractal Characteristics of the Spatial Distribution of Mine Earthquake Sources in the Vicinity of a Fault: A Case Study in the Ashele Copper Mine |
title_full_unstemmed | Fractal Characteristics of the Spatial Distribution of Mine Earthquake Sources in the Vicinity of a Fault: A Case Study in the Ashele Copper Mine |
title_short | Fractal Characteristics of the Spatial Distribution of Mine Earthquake Sources in the Vicinity of a Fault: A Case Study in the Ashele Copper Mine |
title_sort | fractal characteristics of the spatial distribution of mine earthquake sources in the vicinity of a fault a case study in the ashele copper mine |
topic | fractal dimension spatial distribution potential minor fault mine earthquake source |
url | https://www.mdpi.com/2504-3110/9/1/3 |
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