Signal processing application for vibration generated by blasting in tunnels

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S.Feltane,, Laboratory of Natural Resources and Development Badji Mokhtar University, Annaba, Algeria, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

S.Yahyaoui,, National Polytechnic School, Alger, Algeria

A.Hafsaoui,, Laboratory of Natural Resources and Development Badji Mokhtar University, Annaba, Algeria, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

A.Boussaid,, University of brothers Mentouri, Constantine 1, Algeria

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2021, (5): 054 - 060


To study the vibrations waves generated by blasting in a tunnel using the signal processing tools.

Field tests are carried out to measure vibration wave during blasting operations at different locations in the tunnel and its immediate environment. Results of the measurements are processed by the autocorrelation method, which consists of filtering based on signal shape recognition. A comparison is accomplished between the peak particle velocities (PPV) measured and those obtained after filtering.

The results obtained after filtering gave a significant reduction in PPV of the measured vibration amplitudes in comparison to those obtained after treatment for the three components: longitudinal, transversal and vertical ones. Good knowledge of vibration source is important for amplitude attenuation regarding the observed difference between the recorded seismogram during explosion of a single unit charge and other standard explosions.

The work introduces signal processing methods for filtering vibration signals related to blasting, which is insufficiently studied.

Practical value.
This study shows that the treatment of blasting vibrations by a filtering method should reduce the peak velocity of the particles by separating the signals and eliminating the interference in the initial signal.

blasting, vibration amplitude, signal processing, autocorrelation methods, filtered signal, signal degradation


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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.


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