Abstract
This study analyses the frequency content of vibrations from blasting in the near field using a vibration prediction model called full-field solution (FFS). For that purpose, the frequency content of recorded signals and synthetic waveforms obtained through the FFS using dominant and mean frequencies have been compared and correlated with the geometrical distance to the blastholes. The study shows that the model overestimates the dominant and mean frequencies in the entire frequency domain, which may require tailoring the source function to a lower frequency content. However, it attenuates the frequency content as distance increases. Additionally, the study shows that the mean frequencies may be used as a better estimator of the frequency content than the dominant frequencies.
Highlights
It is common in the mining industry to measure the frequency content and peak vibration levels from blasting, to control and prevent any potential damage to structures at some distance from the blast
The two aims of this study are: (i) to analyse the effect of distance in the frequency content of waveforms predicted by an analytical vibration prediction model called full-field solution (FFS) and show the validity of this approach to describe quantitatively vibrations in the near field and (ii) describe the frequency content of vibrations with a single frequency value that is sensitive to the effect of distances; this paper shows that mean frequency is more suitable for characterization of the frequency content of a seismic signal from blasting than the commonly sued dominant frequencies
This work develops a methodology to obtain the frequency content of seismic signals from blasting using an analytical vibration prediction model
Summary
It is common in the mining industry to measure the frequency content and peak vibration levels from blasting, to control and prevent any potential damage to structures at some distance from the blast. It is less common to perform these measurements in the vicinity of the blasthole, at distances in the so-called near-field range, where frequency content is more difficult to predict. There are many scientific publications that use empirical models to obtain them as a function of the maximum explosive charge per delay, the distance between blasting source and measuring point, peak particle velocity, longitudinal and shear wave velocities in the rock, the relative elevation, among other empirical coefficients [9]. It is preferable to resort to analytical or numerical vibration prediction models with which the full-waveform and its corresponding frequency spectrum may be obtained
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