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Fractal Characteristics of Temporal-Spatial Distribution of Acoustic Emission During Coal Bursts

机译:煤爆炸声发射时空分布的分形特征

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Due to recent coal bursts in Australian coalmines, research of coal bursts has attracted intensive interest from mining researchers and engineers worldwide. Previous research has shown that the sudden drop of fractal dimension may be a precursor of catastrophic failure of rock. This paper examines the fractal characteristics of temporal-spatial distribution of acoustic emission signals released during the compression loading process of coal. This research suggests the possibility of coal burst forecasting based on acoustic emission data. The concept and calculation equation of fractal dimension is introduced in this paper. Additionally, uniaxial compression experiments of Australian coal samples are conducted, and the acoustic emission waveform and 3D location are recorded simultaneously by eight sensors Express-8 AE monitoring equipment in the loading process. The experimental results indicate that the continued slowdown of fractal dimension in time sequence can be used as a precursory signal of coal sample brittle failure. The fractal dimension of the spatial distribution of acoustic emission events decreases with the evolution of coal fracturing.
机译:由于澳大利亚煤矿中最近发生的煤爆,对煤爆的研究引起了全球采矿研究人员和工程师的浓厚兴趣。先前的研究表明,分形维数的突然下降可能是岩石灾难性破坏的先兆。本文研究了煤压缩压缩过程中释放的声发射信号的时空分布的分形特征。这项研究提出了基于声发射数据预测煤爆的可能性。介绍了分形维数的概念和计算方程。此外,还进行了澳大利亚煤样的单轴压缩实验,并在装载过程中通过八台Express-8 AE传感器监控设备同时记录了声发射波形和3D位置。实验结果表明,分形维数在时间序列上的持续减慢可以作为煤样脆性破坏的先兆信号。声发射事件的空间分布的分形维数随着煤压裂的发展而减小。

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