应变岩爆实验的声发射本征频谱特征
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摘要
本文利用自主设计的深部岩爆过程模拟实验系统，对不同岩性岩石进行室内应变岩爆模拟实验，采用两种不同类型的声发射传感器灵敏度的声发射监测系统测量岩石在实验过程中的本征频谱特性。首先详细介绍了应变岩爆实验方法、并运用Hoek-Brown准则解释了应变岩爆路径；其次利用傅里叶变换频谱分析方法对比分析了传感器灵敏度影响下的应变岩爆实验过程中不同岩性岩爆阶段的主频响应特性；并利用声发射波形电压幅值衰减特征和主频放大特征论证了声发射传感器放置在不同位置时对岩爆声发射本征频谱特征的影响；根据应变岩爆碎屑裂纹传播类型探讨了应变岩爆碎屑微观裂纹类型和岩爆声发射本征频谱的关系，尤其分析了各个关键点碎屑的穿晶裂纹特征，论证了碎屑中穿晶裂纹的大量出现与岩爆阶段特有的连续波-低频-高幅值声发射本征频谱有密切的关系。
The strainbursts tests were carried out in different lithology rocks by the deep undergroundrockburst analogue testing machine. The acoustic emission (AE) Eigen-frequency spectrumcharacteristics of rock during the process of rockburst were obtained using two different types ofAE sensor sensitivity monitoring systems. Firstly, the experimental methods for strainbursts wereintroduced in detail, the strainbursts paths were explained using Hoek-Brown criterion; Secondly,the AE dominant frequency characteristics of rock in different lithology during the rockburstprocess were analysed using Fourier transform frequency spectrum analysis method under theinfluence of the sensor sensitivity. The influence of AE Eigen-frequency spectrum characteristicswas demonstrated using AE waveform voltage amplitude attenuation characteristics and dominantfrequency amplification characteristics when the AE sensors were placed in different positions.The relationship between microscopic crack features of fragments and AE Eigen-frequencyspectrum characteristics in key points during the rockburst process according to the crackpropagation type; the transgranular crack characteristics of fragments were especially analysed ineach key point, demonstrated the close relationship between the transgranular crack appearanceand continuous wave-low frequency-high energy characteristic of AE during rockburst phase.
The strainbursts tests were carried out in different lithology rocks by the deep undergroundrockburst analogue testing machine. The acoustic emission (AE) Eigen-frequency spectrumcharacteristics of rock during the process of rockburst were obtained using two different types ofAE sensor sensitivity monitoring systems. Firstly, the experimental methods for strainbursts wereintroduced in detail, the strainbursts paths were explained using Hoek-Brown criterion; Secondly,the AE dominant frequency characteristics of rock in different lithology during the rockburstprocess were analysed using Fourier transform frequency spectrum analysis method under theinfluence of the sensor sensitivity. The influence of AE Eigen-frequency spectrum characteristicswas demonstrated using AE waveform voltage amplitude attenuation characteristics and dominantfrequency amplification characteristics when the AE sensors were placed in different positions.The relationship between microscopic crack features of fragments and AE Eigen-frequencyspectrum characteristics in key points during the rockburst process according to the crackpropagation type; the transgranular crack characteristics of fragments were especially analysed ineach key point, demonstrated the close relationship between the transgranular crack appearanceand continuous wave-low frequency-high energy characteristic of AE during rockburst phase.
引文
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