Abstract
Explosives are still the cheapest source of breaking rock in the mining or tunnelling operation and can be applied in varying geological conditions. It generates various troubles such as ground vibration, air overpressure, and fly rocks. It is well known that the maximum charge per delay (MCPD) has to be optimum for safe blasting and can be achieved through trial blasts, which is a complicated and costly process. Therefore, it is required to reduce the number of trial blasts. In this study, a total of 18 blasts were conducted in an underground coal mine and were simulated using similar ground conditions using Ansys software. The Peak particle velocity values obtained in the mines and through the models were compared. The error in PPV found between the actual and predicted by simulation is less than 15%. It can help us design the MCPD in rock excavation operations, visualise damages using simulation in Ansys software, and economical compared to field trials.
Similar content being viewed by others
References
Singh B, Goel RK (2015) Tunnelling in Weak Rocks, Volume 5 (Geo-Engineering Book Series). ISBN-10: 9780080449876$4ISBN-13 2006:978–80449876
Dey K, Murthy V (2012) Prediction of blast-induced overbreak from uncontrolled burn-cut blasting in tunnels driven through medium rock class. Tunn Undergr Sp Technol 28:49–56
Kumar R, Choudhury D, Bhargava K (2016) Determination of blast-induced ground vibration equations for rocks using mechanical and geological properties. J Rock Mech Geotech Eng 8:341–349. https://doi.org/10.1016/j.jrmge.2015.10.009
Hudaverdi T (2012) Application of multivariate analysis for prediction of blast-induced ground vibrations. Soil Dyn Earthq Eng 43:300–308
Agrawal H, Mishra AK (2018) Probabilistic analysis on scattering effect of initiation systems and concept of modified charge per delay for prediction of blast-induced ground vibrations. Measurement 130:306–317
Garai D, Agrawal H, Mishra AK, Kumar S (2018) Influence of initiation system on blast-induced ground vibration using random forest algorithm, artificial neural network, and scaled distance analysis. Math Model Eng Probl 5:418–426
Agrawal H, Mishra AK (2019) Modified scaled distance regression analysis approach for prediction of blast-induced ground vibration in multi-hole blasting. J Rock Mech Geotech Eng 11:202–207
Garai D, Mishra AK, Kumar S, Agrawal H (2018) Development of a universal blast-induced ground vibration prediction model for Jharia coalfields. Model Meas Control C. https://doi.org/10.18280/mmc_c.790205
AminShokravi A, Eskandar H, Derakhsh AM, Rad HN, Ghanadi A (2018) The potential application of particle swarm optimisation algorithm for forecasting the air-overpressure induced by mine blasting. Eng Comput 34:277–285
Rad HN, Hasanipanah M, Rezaei M, Eghlim AL (2017) Developing a least squares support vector machine for estimating the blast-induced flyrock. Eng Comput 34:1–9
Kumar S, Choudhary BS (2019) Prediction of blast-induced ground vibration by ANN, USBM and CMRI formulae for the safety of the structures near surface coal mines. J Mines Met Fuels 67:351–356
Kumar S, Mishra AK, Choudhary BS (2021) Prediction of the back break in blasting using random decision trees. Eng Comput. https://doi.org/10.1007/s00366-020-01280-9
Kumar S, Mishra AK, Choudhary BS (2017) Study of P and S wave velocity of rocks in Jharia coalfield region to assess its geotechnical properties in Dry, Semi-saturated and Saturated conditions. Ann Chim - Sci Des Matériaux 0151–9107 41(3–4):209–223. https://doi.org/10.3166/acsm.41.209-223
Sainoki A, Mitri HS (2014) Numerical simulation of rock mass vibrations induced by nearby. Production Blast 1262:1253–1262
Xia X, Li HB, Li JC, Liu B, Yu C (2013) A case study on rock damage prediction and control method for underground tunnels subjected to adjacent excavation blasting. Tunn Undergr Sp Technol 35:1–7
Kumar S, Mishra AK, Choudhary BS, Sinha RK, Deepak D, Agrawal H (2020) Prediction of ground vibration induced due to single hole blast using explicit dynamics. mining. Metall Explorer 37:733–741. https://doi.org/10.1007/s42461-019-00162-z
Sjöberg J, Schill M, Ab DN, Hilding D, Ab DN, Johansson D (2012) Computer simulations of blasting with precise initiation 1–12
Wu C, Lu Y, Hao H (2004) Numerical prediction of blast-induced stress wave from large-scale underground explosion. Int J Numer Anal Methods Geomech 109:93–109. https://doi.org/10.1002/nag.328
Ma GW, Hao H, Zhou YX (1998) Modelling of wave propagation induced by underground explosion. Comput Geotech 22(3–4):283–303
Lu W, Yang J, Chen M, Zhou C (2011) Simulation modelling practice and theory an equivalent method for blasting vibration simulation. Simul Model Pract Theory 19:2050–2062. https://doi.org/10.1016/j.simpat.2011.05.012
ANSYS Inc (2016) ANSYS Explicit Dynamics Analysis Guide 170 15317:724–746
Castedo R, Natale M, López LM, Sanchidrián JA, Santos AP, Navarro J et al (2018) Estimation of Jones-Wilkins-Lee parameters of emulsion explosives using cylinder tests and their numerical validation. Int J Rock Mech Min Sci 112:290–301. https://doi.org/10.1016/j.ijrmms.2018.10.027
Hansson H (2009) Determination of properties for emulsion explosives using cylinder expansion tests and numerical simulation, Materials Science
Kuhlemeyer RL, Lysmer J (1973) Finite element method accuracy for wave propagation problems. J Soil Mech Found Div 99(5):421–427
Bery AA, Saad R (2012) Correlation of seismic P-wave velocities with engineering parameters (N value and rock quality) for tropical environmental study. Int J Geosci 03:749–757. https://doi.org/10.4236/ijg.2012.34075
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Kumar, S., Choudhary, B.S. & Mishra, A.K. Modelling the effects of ground vibrations on the surface due to blasting in underground coal mines. Nat Hazards 110, 315–323 (2022). https://doi.org/10.1007/s11069-021-04948-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11069-021-04948-7