Abstract
The empirical models available for prediction of the tunnel blast results like pull ratio, specific charge, specific drilling and overbreak have some inherent shortcoming in absence of any parametric study at the backdrop. Hence, the models use different constituting parameters and provide values which differ widely. After a thorough review of literature and field investigations in the drivages of mines and tunnels some parameters were identified. Those parameters were subjected to Multiple Linear Regression analyses to filter out the most influencing ones which represent the rockmass properties, the tunnel configurations and the blast designs. A parameter called Tunnel Blasting Index (TBI) was conceptualized and was expressed in terms of those most influencing parameters. All the blast results observed during the filed investigations could be well related to a single index TBI. Some adjustments on account of shape of the tunnel and joint orientations, which were not addressed in the available models, are suggested in the developed models.
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References
Barton, N., Lien, L. and Lunde, J. (1974) Analysis of rock mass quality and support practice in tunnelling, and a guide for estimating support requirements, Internal Report of Norwe-gian Geotechnical Inst., Oslo, pp. 6-9.
Bergh-Christensen, J. and Selmer-Olsen, R. (1970) On the resistance to blasting in tunnelling, International Conference on Rock Mechanics, Belgrade, pp. 59-64.
Brown, E. T. (1981) (Ed.) Rock Characterization Testing & Monitoring ISRM Suggested Methods, Published for The Commission on Testing Methods, International Society For Rock Mechanics, Pergamon Press, U. K. pp. 6-19.
Chakraborty, A. K., Jethwa, J. L. and Dhar, B. B. (1996) Predicting powder factor in mixed-face condition:development of a correlation based on investigations in a tunnel through basaltic flows, Engineering Geology, Elsevier Science B. V., Netherlands, No. 47, pp. 31-41.
Chakraborty, A. K., Pal Roy, P., Jethwa, J. L. and Gupta, R. N. (1998) Blast performance in small tunnels-a critical evaluation in underground metal mines, Tunnelling and Underground Space Technology, Elsevier Science Ltd., 13 (3), 331-339.
CMRI Report (2002) An appraisal of geological features and their effect on strata classi ca-tion and tunnelling conditions for approach tunnel of Ghatghar Project, 6p.
Du Pont (1977) Blasters ' Handbook, E. I. du Pont de Nemours & Co. (Inc.), Wilmington, Delaware, pp. 526-541.
Flood, I. and Kartam, N. (1994) Neural networks in civil engineering I:principles and under-standing, Journal of Computing in Civil Engineering, 8 (2), 234-251.
Ghose, A. K. (1988) Design of Drilling and Blasting Sub Systems-A Rock Classi cation Approach, Proc. Symposium on Mine Planning and Equipment Selection, 1988, Balkema, Rotterdam, pp. 335-340.
Hagan, T. N. (1992) Safe and Cost-Efficient Drilling and Blasting for Tunnels, Caverns, Shafts and Raises in India, Manual prepared by Golder Associates Pty. Ltd., Australia, pp. 12. 17, 12. 25 and 12. 46-12. 51.
Holmberg, R. and Persson, P. A. (1978) The Swedish approach to contour blasting, In:Proc. of Annual Conference on Explosives and Blasting Research, Explosives Reference Database on CD-ROM, International Society of Explosives Engineers, Ohio, USA, 1997.
Holmberg, R. and Persson, P. A. (1980) Design of tunnel perimeter blasting patterns to prevent rock damage, Trans. Inst. of Mining and Metall., London, 89, A37-A40.
Holmberg, R. (1982) Charge calculations for tunnelling, Underground Mining Methods Handbook, Society of Mining Engineers, American Inst. of Mining, Metall. and Pet. Eng., New York, pp. 1580-1589.
Innaurato, N., Mancini, R. and Cardu, M. (1998) On the in. uence of the rock mass quality on the quality of the blasting work in tunnel driving, Tunnelling and Underground Space Technology, Elsevier Science, Great Britain, 13 (1), 81-89.
Irrigation Department, Govt. of Maharashtra (1998) Specifications for Underground Excavations, Notifications 67/98, 22 p.
Johansen, J. (1998) Modern trends in tunnelling and blast design, IDL Industries Ltd., Hyderabad, India, pp. 34-41.
Langefors, U. and Kihlstrom, B. (1973) The Modern Technique of Rock Blasting, John Willey & Sons, pp. 188-257, 299-301.
Leu, S.-S., Lin, S.-F., Chen, C.-K. and Wang, S.-W. (1998) Analysis of powder factors for tunnel blasting using neural networks, The International Journal for Blasting and Fragmentation, A. A. Balkema, Rotterdam, Netherlands, 2 (4), 433-448.
Lilly, P. A. (1986) An empirical method of assessing rock mass blastability, In:Proc. Large Open Pit Conference, Australia, IMM, pp. 89-92.
McKenzie, C. J. (1994) Blasting for Engineers, Blastronics Pty. Ltd., Brisbane, Australia.
Olofsson, S. O. (1988) Applied Explosives Technology for Construction and Mining, Applex, Arla, Sweden, 303 pp.
Palmstrom, A. (1975) Karakterising av Oppsprekningsgrad og Fjellmassers Kvalitet, Internal Report by Ing., A. B. Berdal A/S, Oslo, In Norwegian, pp. 1-26.
Pokrovsky, N. M. (1980) Driving Horizontal Workings and Tunnels, Mir Publishers, Moscow, pp. 38-41.
Sayed, T. and Adewahab, O. (1998) Comparison of fuzzy and neural classi ers for road acci-dents analysis, Journal of Computing in Civil Engineering, 12 (1), 42-47.
SPSS Inc. (1993) SPSS for WINDOWSTM, Base Systems for User 's Guide Release 6. 0, pp. 311-363.
Yu, T. R. and Vongpaisal, S. (1996) New blast damage criteria for underground blasting, CIM Bulletin, No. 998, 89, 139-145.
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Chakraborty, A.K., Raina, A.K., Ramulu, M. et al. Development of rational models for tunnel blast prediction based on a parametric study. Geotechnical and Geological Engineering 22, 477–496 (2004). https://doi.org/10.1023/B:GEGE.0000047042.90200.a8
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DOI: https://doi.org/10.1023/B:GEGE.0000047042.90200.a8