This study aimed to investigate the relationships between particle sizes and spectral characteristics of the sound or vibration signals generated in rock drilling processes. Several drilling experiments were conducted on concrete specimens of different aggregate sizes. By using an indoor signal acquisition and analysis system, data from the sound waves and vibrations were collected, the characteristic signals were extracted, and the spectral characteristics of the sound and vibrations of different aggregate sizes were identified. An approach based on frequency band analysis was adopted. In this approach, the average amplitude of each frequency band was calculated after frequency segmentation. The overall distribution trend in the frequency domain is conveniently observed, and the trend line patterns reflect the effect of aggregate sizes. The time-domain features of sound and vibration, such as the amplitude of sound pressure and vibration, are important indexes that roughly reflect grain sizes. The general trend is that the larger the amplitudes of sound and vibration, the larger the grain size. The frequency domain features of sound and vibration, such as the distribution of energy at high and low frequencies, can also reflect grain sizes. The general trend is that the larger the high-frequency composition of sound and vibration, the smaller the aggregate size. These results are useful for revealing the influence mechanism of rock particle sizes on the vibration spectral characteristics in drilling processes. The study provides a possibility for developing a method to evaluate the information on rock structures collected from drilling vibration or sound signals for the fine exploration of geological surveys.

中文翻译：

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矿物粒度对凿岩机声音和振动频谱特性影响的研究

这项研究旨在研究在岩石钻探过程中产生的声音或振动信号的粒度与频谱特征之间的关系。在不同骨料尺寸的混凝土样品上进行了几次钻孔实验。通过使用室内信号采集和分析系统，收集来自声波和振动的数据，提取特征信号，并识别不同聚集体大小的声音和振动的频谱特征。采用了基于频带分析的方法。在这种方法中，每个频段的平均幅度是在频率分割之后计算出来的。可以方便地观察频域中的总体分布趋势，并且趋势线模式反映了聚合大小的影响。声音和振动的时域特征（例如声压和振动的幅度）是粗略反映晶粒尺寸的重要指标。总的趋势是，声音和振动的幅度越大，晶粒尺寸越大。声音和振动的频域特征（例如高频和低频能量的分布）也可以反映晶粒尺寸。总的趋势是声音和振动的高频成分越大，合计尺寸越小。这些结果有助于揭示岩石粒径对钻井过程中振动谱特征的影响机理。