Application of ANNs and MVLRA for Estimation of Specific Charge in Small Tunnel
Publication: International Journal of Geomechanics
Volume 12, Issue 2
Abstract
Drilling and blasting method has been used for many years in underground excavations and still is very popular because of its many advantages. Blast performance is ordinarily measured by specific charge and by explosive consumption of broken rock. The empirical models are available for estimation of specific charge and different sets of parameters. This paper presents the possibility of applying artificial neural networks (ANNs) to estimate the specific charge in various conditions of tunnel blasting. Among available existing parameters in the literature, some of the most influencing parameters are selected. After running different models, wave, rock-quality designation (RQD), tunnel area, maximum depth of the hole, and coupling ratio (charge-to-hole diameter) are selected to estimate specific charge of tunnel blasting under various conditions. Also, conventional multi variable linear regression analysis (MVLRA) is applied to estimate specific charge. The results show that the accuracy of ANN is more than the MVLRA-based models.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The authors are thankful to Dr. A. K. Chakraborty for making the data available for this research.
References
Chakraborty, A. K., et al. (2004). “Development of rational models for tunnel blast prediction based on a parametric study.” Geotech. Geol. Eng.GGENE3, 22(4), 477–496.
Chakraborty, A. K., Pal, R. P., Jethwa, J. L., and Gupta, R. N. (1998). “Blast performance in small tunnels: A critical evaluation in underground metal mines.” Tunnelling Underground Space Technol., 331–339.
Demuth, H., and Beale, M. (2003). Neural network toolbox for use with MATLAB, MathWorks, Natick, MA.
Ghose, A. K. (1988). “Design of drilling and blasting sub systems: A rock classification approach.” Proc., Symp. on Mine Planning and Equipment Selection, Balkema, Rotterdam, Netherlands, 335–340.
Hagan, T. N. (1992). Safe and cost-efficient drilling and blasting for tunnels, caverns, shafts and saises in India, Golder Associates, Australia, 12.17, 12.25, 12.46–12.51.
Jimeno, C. L., and Jimeno, E. L. (1995). Drilling and blasting of rock, Balkama, Rotterdam, Netherlands.
Kahriman, A., Ozkan, S. G., Sul, O., and Demirci, A. (2001). “Estimation of the powder factor in bench blasting from the Bond work index.” Trans. - Inst. Min. Metall, 110, 114–119.
Langefors, U., and Kihlstrom, B. (1973). The modern technique of rock blasting, Wiley, New York.
Lilly, P. A. (1986). “An empirical method of assessing rock mass blastability.” Proc., Large Open Pit Conf., IMM, Newman, Australia, 89–92.
Olofsson, S. O. (1988). Applied explosives technology for construction and mining, Applex, Arla, Sweden.
Pokrovsky, N. M. (1980). Driving horizontal workings and tunnels, Mir Publishers, Moscow.
Revey, G. F. (2001). “Evaluating and managing construction blasting risk.” Pract. Period. Struct. Des. Constr., 6(1), 19–24.PPSCFX
Rhyner, F. C. (2004). “Drilled shaft construction with blasting.” Proc., GeoSupport Conf., ASCE, Reston, VA, 70–83.
Wang, H., Wang, X., Hou, W., and Li, H. (2007). “Application of blasting method in excavation of road cut in permafrost.” Proc., of 13th Int., Conf., on Cold Regions Engineering, ASCE, Reston, VA.
Information & Authors
Information
Published In
International Journal of Geomechanics
Volume 12 • Issue 2 • April 2012
Pages: 189 - 192
Copyright
© 2012. American Society of Civil Engineers.
History
Received: Mar 27, 2010
Accepted: Mar 4, 2011
Published online: Mar 7, 2011
Published in print: Apr 1, 2012
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.