Abstract
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.
Highlights
In the field of geological and engineering drilling, traditional methods are primarily based on the properties of rock cores, the composition of rock powders, and the changes in the color of drilling fluids to judge the lithology, rock joints, properties, depth, and sizes of geological anomaly bodies
There have been some advances in the field of measurement while drilling (MWD) technology based on drilling mechanical parameters [2,3,4,5,6,7,8,9,10]. e drilling mechanical parameters have good continuity and strong capacity for identifying the formations of loose rocks, but they are not sufficiently sensitive to the rock’s lithology, and the identification accuracy still needs to be improved [1]
To infer rock architectural characteristics from sound and vibration signals during diamond core drilling operations, several indoor drilling experiments were conducted by using concrete specimens with different-sized aggregates
Summary
Received 20 September 2019; Revised 14 February 2020; Accepted 14 May 2020; Published 30 June 2020. Is study aimed to investigate the relationships between particle sizes and spectral characteristics of the sound or vibration signals generated in rock drilling processes. 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. E time-domain features of sound and vibration, such as the amplitude of sound pressure and vibration, are important indexes that roughly reflect grain sizes. E frequency domain features of sound and vibration, such as the distribution of energy at high and low frequencies, can reflect grain sizes. E general trend is that the larger the high-frequency composition of sound and vibration, the smaller the aggregate size. E general trend is that the larger the amplitudes of sound and vibration, the larger the grain size. e frequency domain features of sound and vibration, such as the distribution of energy at high and low frequencies, can reflect grain sizes. e general trend is that the larger the high-frequency composition of sound and vibration, the smaller the aggregate size. ese results are useful for revealing the influence mechanism of rock particle sizes on the vibration spectral characteristics in drilling processes. e 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
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