<p>The present work studied the acoustic emission (AE) generated by uniaxial compression of coal from four major coal-producing regions in China-Guizhou, Shanxi, Inner Mongolia, and Xinjiang. Through AE signal monitoring and analysis, the study explored the relationship between AE signals, coal heterogeneity, and mechanical behavior. The findings affirmed that the AE energy distributions across all coal samples followed a power-law, which corroborates scale invariant failure dynamics similar to those of natural earthquakes. The more homogeneous samples, such as those from Guizhou and Shanxi, exhibited brittle behavior, and generated higher-energy AE events with a power-law coefficient of approximately 1.44. Conversely, the heterogeneous samples from Inner Mongolia and Xinjiang showed weaker mechanical behavior and lower energy emissions, with a power-law coefficient of 1.66. Additionally, the study compared the distribution of waiting times and aftershock sequences of the AE events, noting consistency with established geophysical models, such as Omori’s (1894) laws. Influenced by the internal structure and composition of heterogeneous coals, the heterogeneous coal samples in this study produced fewer shear cracks than the homogeneous coal samples. The findings yielded significant insights into the failure mechanisms of coal subjected to compressive stress and establish a basis for enhancing coal mine disaster prediction and preventive measures.</p>

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Acoustic Emission Characteristics in Coal Failure from Chinese Coal

  • Honglian Li,
  • Emma Valdés,
  • Zhaolong Ge,
  • Antoni Planes,
  • Xiang Jiang,
  • Saipeng Huang,
  • Eduard Vives

摘要

The present work studied the acoustic emission (AE) generated by uniaxial compression of coal from four major coal-producing regions in China-Guizhou, Shanxi, Inner Mongolia, and Xinjiang. Through AE signal monitoring and analysis, the study explored the relationship between AE signals, coal heterogeneity, and mechanical behavior. The findings affirmed that the AE energy distributions across all coal samples followed a power-law, which corroborates scale invariant failure dynamics similar to those of natural earthquakes. The more homogeneous samples, such as those from Guizhou and Shanxi, exhibited brittle behavior, and generated higher-energy AE events with a power-law coefficient of approximately 1.44. Conversely, the heterogeneous samples from Inner Mongolia and Xinjiang showed weaker mechanical behavior and lower energy emissions, with a power-law coefficient of 1.66. Additionally, the study compared the distribution of waiting times and aftershock sequences of the AE events, noting consistency with established geophysical models, such as Omori’s (1894) laws. Influenced by the internal structure and composition of heterogeneous coals, the heterogeneous coal samples in this study produced fewer shear cracks than the homogeneous coal samples. The findings yielded significant insights into the failure mechanisms of coal subjected to compressive stress and establish a basis for enhancing coal mine disaster prediction and preventive measures.