Document Type : Original Research Paper

Authors

1 Faculty of Electro-mechanics, Hanoi University of Mining and Geology, Hanoi ,Vietnam

2 Faculty of Mining, Hanoi University of Mining and Geology, Hanoi, Vietnam

Abstract

Blasting has become a crucial work in mining operation. However, it produces high-intensity seismic waves which cause some serious troubles such as injure people, fly-rock, cracking, breaking and reducing the lifetime of adjacent buildings. In Vietnam, there have been many conflicts between residents and government about the compensation policy for these damages. The solution is proposed, in which a similar explosion is made and an instantaneous concussion meter is used to record the magnitude of the generated shock wave. The results received from this operation will be used to determine the effects of mining blast. In fact, that is an incorrect method because just by changing the type of explosives, the order, the explosives, etc., the shock wave will be significantly reduced. Nothing is ensured that another explosion causing a shock wave amplitude will not occur in the future. To solve this problem, this paper presents an online seismic wave monitoring system operating 24/24h, to transmit the recorded signal to an independent server located around the boundary of the mine. On the basis of the mechanism of generating explosive waves and the recording mechanism of shock waves, the authors have built a program to store records according to the permissible influence of Vietnam Standard and Circular 32/2019/TT- Vietnam Board of Directors.

Keywords

[1]. Sayadi, A., Monjezi, M., Talebi, N. and Khandelwal, M. (2013). A comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak. Journal of Rock Mechanics and Geotechnical Engineering. 5 (4): 318-324.
[2]. Alan B. Richards. and Adrian J. Moore. (2009). Blasting Technology: Mesurement- Assessment-Control. A lecture of blast vibration course by TERROCK Consulting Engineers, Astralia. 87 pages.
[3]. Feher, J., Cambal, J., Pandula, B., Kondela, J., Sofranko, M., Mudarri, T. and Buchla, I. (2021). Research of the Technical Seismicity Due to Blasting Works in Quarries and Their Impact on the Environment and Population. Applied Sciences. 11 (5): 2118.
[4]. Needham, C.E. (2018). Blast wave propagation. In Blast Waves (pp. 97-120). Springer, Cham.
[5]. DOWDING, C.H. (2016). Blast Vibration Monitoring for Engineering. Excavation, Support and Monitoring: Volume 4, 111.
[6]. Siskind, D.E. (1980). Structure response and damage produced by airblast from surface mining (Vol. 8485). US Department of the Interior, Bureau of Mines.
[7]. Bui, D.T., Moayedi, H., Kalantar, B., Osouli, A., Pradhan, B., Nguyen, H. and Rashid, A.S.A. (2019). A novel swarm intelligence—Harris hawks optimization for spatial assessment of landslide susceptibility. Sensors. 19 (16): 3590.
[8]. Cullis, I.G. (2001). Blast waves and how they interact with structures. BMJ Military Health. 147 (1): 16-26.
[9]. Yang, C., Dong-Hai, Z., Ling-Ying, L., Yong-Hui, Y., Yang, W., Li-Wei, Z. and Jia-Ke, C. (2019). Simulation of blast lung injury induced by shock waves of five distances based on finite element modeling of a three-dimensional rat. Scientific reports. 9 (1): 1-13.
[10]. Nicholls, H.R. (1971). Blasting vibrations and their effects on structures (No. 656-660). US Department of the Interior, Bureau of Mines.
[11]. Ho Si Giao, Đam Trong Thang, Le Van Quyen, Hoang Tuan Chung. (2010). Chemical explosions: Theory and Practice. Science and technology Publishing, 2010.
[12]. Hossein Moayed, Ahmad Safuan A Rashid, Mohammed Abdullahi Muazu, Hoang Nguyen, Xuan-Nam Bui. and Dieu Tien Bui. (2019). Prediction of ultimate bearing capacity through various novel evolutionary and neural network models. Engineering with Computers, DOI: 10.1007/s00366-019-00723-2, 2019.
[17]. Pinnock, I., Collins, D.S., Toya, Y. and Hosseini, Z. (2015, September). The use of microseismic acquisition for vibration monitoring applications. In Proceedings of the Ninth Symposium on Field Measurements in Geomechanics (pp. 581-587). Australian Centre for Geomechanics.
[18]. Wang, I.T. (2019). Field Experiments and Numerical Analysis of the Ground Vibration Isolation of Shock Wave Propagation under Explosion Shock Loading. Vibration. 2 (4): 300-310.
[19]. Zhou, J., Qiu, Y., Zhu, S., Armaghani, D.J., Li, C., Nguyen, H. and Yagiz, S. (2021). Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate. Engineering Applications of Artificial Intelligence. 97: 104015.
[20]. Dou, J., Yunus, A.P., Merghadi, A., Shirzadi, A., Nguyen, H., Hussain, Y. and Yamagishi, H. (2020). Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning. Science of the total environment. 720; 137320.
[21]. Lai, J., Fan, H., Chen, J., Qiu, J. and Wang, K. (2015). Blasting vibration monitoring of undercrossing railway tunnel using wireless sensor network. International Journal of Distributed Sensor Networks. 11 (6): 703980.
[22]. Lizarazo-Marriaga, J., Vargas, C.A. and Tiria, L. (2018). A new approach to predict local site effects related to blast-induced ground vibrations. Journal of Geophysics and Engineering. 15 (5): 1843-1850.
[23]. Kevin, C., van Doormaal, A., Haberacker, C., Hüsken, G., Larcher, M., Saarenheimo, A. and Valsamos, G. (2013). Resistance of structures to explosion effects. Review report of testing methods. Ispra: European Commission-Joint Research Centre.
[24]. Konya, C.J. and Walter, E.J. (1991). Rock blasting and overbreak control (No. FHWA-HI-92-001; NHI-13211). United States. Federal Highway Administration.
[25]. Langefors U, Kihlstrom B. (1978). The Modern Technique of Rock Blasting. A Halsted press book, John Wiley & Sons. New York- London- Sydney- Toronto. 440 pages.
[26]. Langefors, U. (1958). Ground vibrations in blasting. Water power.
[27]. Figuli, L., Cekerevac, D., Bedon, C. and Leitner, B. (2020). Numerical Analysis of the Blast Wave Propagation due to Various Explosive Charges. Advances in Civil Engineering, 2020.
[28]. Cardu, M., Giraudi, A. and Oreste, P. (2013). A review of the benefits of electronic detonators. Rem: Revista Escola de Minas. 66 (3): 375-382.
[29]. Ivančo, M., Erdélyiová, R. and Figuli, L. (2019). Simulation of detonation and blast waves propagation. Transportation Research Procedia. 40: 1356-1363.
[30]. Aloui, M., Bleuzen, Y., Essefi, E. and Abbes, C. (2016). Ground vibrations and air blast effects induced by blasting in open pit mines: Case of Metlaoui Mining Basin, South western Tunisia. Journal of Geology and Geophysics. 5 (3).
[31]. National technical regulation on safety in the process of producing, testing, performing check and acceptance, storage, transportation, use, disposal of industrial explosive materials and storage of explosive precursor. QCVN 01:2019/BCT, 21/1/2019.
[32]. Nguyen, H., Bui, X.N., Tran, Q.H., Van Hoa, P., Nguyen, D.A., Le, Q.T. and Moayedi, H. (2020). A comparative study of empirical and ensemble machine learning algorithms in predicting air over-pressure in open-pit coal mine. Acta Geophysica. 68 (2): 325-336.
[33]. Bui, X.N., Nguyen, H., Le, H. A., Bui, H.B. and Do, N.H. (2020). Prediction of blast-induced air over-pressure in open-pit mine: assessment of different artificial intelligence techniques. Natural Resources Research. 29 (2): 571-591.
[34]. Barton, N.R. (2007, June). Linking seismic velocity to rock quality Q and to seismic quality Q in the near-surface. In 69th EAGE Conference and Exhibition incorporating SPE EUROPEC 2007 (pp. cp-27). European Association of Geoscientists & Engineers.
[35]. ORICA Mining Services. Initiation-Systems. European Shotfirer Standard Education for Enhanced Mobility, a lecture by ORICA Mining Services Germany. 156 pages.
[36]. Walter, P.L. (2004). Introduction to Air Blast Measurements-Part III: Guaranteeing that Validated Pressure Measurements are Acquired. PCB Piezotronics Inc, 1-3.
[37]. Dzwilewski, P.D. and Fenton, G. (2003). Shock wave/sound propagation modeling results for calculating marine protected species impact zones during explosive removal of offshore structures. US Department of the Interior, Minerals Management Service, Gulf of Mexico OCS Region.
[38]. Richards, A.B. (2008). Blast vibration wavefront reinforcement model. Mining Technology. 117 (4): 161-167.
[39]. Kostić, S., Vasović, N., Franović, I., Samčović, A. and Todorović, K. (2014, November). Assessment of blast induced ground vibrations by artificial neural network. In 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL) (pp. 55-60). IEEE.
[40]. Cho, S.H. and Kaneko, K. (2004). Rock fragmentation control in blasting. Materials transactions, 45(5), 1722-1730.
[41]. Diersen, S., Lee, E.J., Spears, D., Chen, P. and Wang, L. (2011). Classification of seismic windows using artificial neural networks. Procedia computer science, 4, 1572-1581.
[42]. Northwood, T.D., Crawford, R. and Edwards, A.T. (1963). Blasting vibrations and building damage (pp. 973-978). Ottawa, Canada: National Research Council of Canada.
[43]. Taylor, D.L. and Firth, I.R. (2003). Utilization of blast movement measurements in grade control. Application of Computers and Operations Research in the Minerals Industry, 243-247.
[44]. Sastry, V.R. and Chandra, G.R. (2016, August). Signal processing computation based seismic energy estimation of blast induced ground vibration waves. In 2016 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) (pp. 216-220). IEEE.
[45]. Vu Trong Tan, Nguyen Ngoc Thu, Vo T.H Quyen. (2011). Measurement of vibrations in environmental management by seismic machines. Vietnam Jounal of earth science. 33 (2): [CĐ], 224-230, 2011
[46]. Bilbrough, N.R. (2014). The FDA, congress, and mobile health apps: lessons from DSHEA and the regulation of dietary supplements. Md. L. Rev. 74: 921.