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ArticleName Procedural framework for explosion classification by the seismic load criterion
DOI 10.17580/gzh.2021.05.13
ArticleAuthor Kholodilov A. N., Gospodarikov A. P., Eremenko A. A.

Saint-Petersburg Mining University, Saint-Petersburg, Russia:

A. N. Kholodilov, Associate Professor, Candidate of Physical and Mathematical Sciences,
A. P. Gospodarikov, Professor, Doctor of Engineering Sciences


Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia:
A. A. Eremenko, Deputy Director of Science, Professor, Doctor of Engineering Sciences


For the first time the quantitative classification of blasting operations as sources of blasting vibrations is constructed. According to the classification, all sources are divided into the sources of increased, normal and reduced action. The classification is based on the rectilinear dependences of the PPV attenuation factor on the logarithm of the seismicity coefficient, which are included in Sadovsky’s formula to predict the peak particle velocity under the seismic action of explosions. The classification is based on the statistical analysis of 76 seismicity coefficient—PPV attenuation factor couples reflective of the wide geography of blasting operations carried out in solid minerals mining and in civil engineering. The reliability of the statistical analysis result is proved using the Fisher criterion and Student statistics. The classification boundaries of seismic sources are verified. The sources of increased seismic activity are compared by the conditions of blasting in watered and in very strong rocks, the use of largediameter blast holes, the choice of explosive mass for simultaneous blasting and the influence of the initiation method on the seismic effect produced. The sources of normal and reduced seismic activity were compared by the conditions of blasting in underground mines, at quarries of building materials with ground surface recording, blasting in civil construction and with preliminary borehole slotting. The classification allows the quantitative comparison of blasting operations by the level of seismic action in the intervals of 6–2700 and 0.6–2.8 by the seismicity coefficient and PPV attenuation factor, respectively, for PPV in cm/s. The classification is representative of the current technology of blasting in the world practice.

keywords Blasting, pen pit mine, displacements, peak particle velocity, reduced distance, seismicity coefficient, seismic vibrations induced by blasting, attenuation factor, safety

1. Belin V. A., Kholodilov A. N., Gospodarikov A. P. Methodical principles of prediction of seismic effect due to large-scale blasting. Gornyi Zhurnal. 2017. No. 2. pp. 66–69. DOI: 10.17580/gzh.2017.02.12
2. Shemyakin E. I. Seismic waves induced by blasting in mining. Moscow : NNTs GP–IGD im. A. A. Skochinskogo, 2004. 74 p.
3. Giraudi A., Cardu M., Kecojevic V. An Assessment of Blasting Vibrations: A Case Study on Quarry Operation. American Journal of Environmental Sciences. 2009. Vol. 5, Iss. 4. pp. 468–474.
4. Fouladgar N., Hasanipanah M., Hassan Bakhshandeh Amnieh. Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting. Engineering with Computers. 2017. Vol. 33, Iss. 2. pp. 181–189.
5. Chernykh E. N. Experimental estimate of seismic effect generated by massive blasts at Neryungri open pit mines on guarded objects. Geological and Geophysical Environments and Seismic Effects: Conference Proceedings. Neryungri : Izdatelstvo Tekhnicheskogo instituta (filiala) SVFU, 2015. pp. 200–207.
6. Lubej S., Toplak S., Ivanic A., Jelusic P., Ivanovski I. Ground vibration response due to blast induced vibration: simple prediction model based on fuzzy logic. Proceedings of the 22nd International Congress on Sound and Vibration 2015. Florence, 2015. Vol. 2. pp. 1744–1751.
7. Mingsheng Zhao, Dong Huang, Maosen Cao, En-an Chi, Jun Liu, Qiang Kang. An Energy-Based Safety Evaluation Index of Blast Vibration. Shock and Vibration. 2015. Vol. 2015. ID 698193. DOI: 10.1155/2015/698193
8. Khandelwal M., Singh T. N. Prediction of blast-induced ground vibration using artificial neural network. International Journal of Rock Mechanics & Mining Sciences. 2009. Vol. 46, Iss. 7. pp. 1214–1222.
9. Vaibhab Pramod Bhagwat, Kaushik Dey. Comparison of Some Blast Vibration Predictors for Blasting in Underground Drifts and Some Observations. Journal of The Institution of Engineers (India): Series D. 2016. Vol. 97, Iss. 1. pp. 33–38.
10. Hassan Bakhshandeh Amnieh, Moein Bahadori. Safe vibrations of spilling basin explosions at «Gotvand Olya dam» using artificial neural network. Archives of Mining Sciences. 2014. Vol. 59. No. 4. pp. 1087–1096.
11. Dehghani H., Ataee-pour M. Development of a model to pr edict peak particle velocity in a blasting operation. International Journal of Rock Mechanics & Mining Sciences. 2011. Vol. 48, Iss. 1. pp. 51–58.
12. Ataei M., Sereshki F. Improved prediction of blast-induced vibrations in limestone mines using Genetic Algorithm. Journal of Mining & Environment. 2017. Vol. 8, No. 2. pp. 291–304.
13. Goncharov A. I., Kulikov V. I., Eremenko A. A. Seismic effect generated by blasts in surface and underground mines. Journal of Mining Institute. 2007. Vol. 171. pp. 175–180.
14. Adushkin V. V., Spivak A. A. Influence of route on attenuation of seismic signal from short-delay blasts in open pits. Dynamic Processes in Geospheres : Collection of Scientific Papers. Moscow : GEOS, 2013. No. 4. pp. 118–126.
15. Nikitin R. Ya., Vasilev A. V., Khon V. I., Chernykh E. N. Seismometric study of influence of massive explosions in the quarry at the protected objects of Internatsionalnyi mine. Gornyi Zhurnal. 2012. No. 2. pp. 14–16.
16. Saadat M., Khandelwal M., Monjezi M. An ANN-based approach to predict blast-induced ground vibration of Gol-E-Gohar iron ore mine, Iran. Journal of Rock Mechanics and Geotechnical Engineering. 2014. Vol. 6, Iss. 1. pp. 67–76.
17. Nianhua Y., Pingliang W., Le Z. Monitoring and Analyses on Blasting Vibration of Thousand-ton Charge Level Long-hole Casting Blasting Project. Proceedings of the 7th International Conference on Physical Problems of Rock Destruction. Beijing, 2011. pp. 408–412.
18. Rai R., Singh T. N. A new predictor for ground vibration prediction and its comparison with other predictors. Indian Journal of Engineering & Materials Sciences. 2004. Vol. 11, No. 3. pp. 178–184.
19. Mosinets V. N. Shattering and seismic effect generated by blasts in rocks. Moscow : Nedra, 1976. 271 p.
20. Artemov V. A. Research and analysis of an efficient blasting technology for dolomite in open pit voids filled with water : Dissertation of Candidate of Engineering Sciences. Leningrad, 1981. 22 p.

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