Development of rational models for tunnel blast prediction based on a parametric study

被引:11
作者
Chakraborty A.K. [1 ]
Raina A.K. [1 ]
Ramulu M. [1 ]
Choudhury P.B. [1 ]
Haldar A. [1 ]
Sahoo P. [1 ]
Bandopadhyay C. [1 ]
机构
[1] Central Mining Research Institute, Regional Centre, Nagpur-440 006, Seminary Hills
关键词
Joint orientation adjustments; Most influencing parameters; Predictive models; Tunnel Blasting; Tunnel Blasting Index (TBI);
D O I
10.1023/B:GEGE.0000047042.90200.a8
中图分类号
学科分类号
摘要
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. © 2004 Kluwer Academic Publishers.
引用
收藏
页码:477 / 496
页数:19
相关论文
共 26 条
[1]
Barton N., Lien L., Lunde J., Analysis of rock mass quality and support practice in tunnelling, and a guide for estimating support requirements, pp. 6-9, (1974)
[2]
Bergh-Christensen J., Selmer-Olsen R., On the resistance to blasting in tunnelling, International Conference on Rock Mechanics, pp. 59-64, (1970)
[3]
Brown E.T., Rock Characterization Testing & Monitoring ISRM Suggested Methods, pp. 6-19, (1981)
[4]
Chakraborty A.K., Jethwa J.L., Dhar B.B., Predicting powder factor in mixed-face condition: Development of a correlation based on investigations in a tunnel through basaltic flows, pp. 31-41, (1996)
[5]
Chakraborty A.K., Pal Roy P., Jethwa J.L., Gupta R.N., Blast performance in small tunnels - A critical evaluation in underground metal mines, Tunnelling and Underground Space Technology, 13, 3, pp. 331-339, (1998)
[6]
An appraisal of geological features and their effect on strata classification and tunnelling conditions for approach tunnel of Ghatghar Project, (2002)
[7]
du Pont Blasters' Handbook, pp. 526-541, (1977)
[8]
Flood I., Kartam N., Neural networks in civil engineering I: Principles and understanding, Journal of Computing in Civil Engineering, 8, 2, pp. 234-251, (1994)
[9]
Ghose A.K., Design of Drilling and Blasting Sub Systems - A Rock Classification Approach, Proc. Symposium on Mine Planning and Equipment Selection, pp. 335-340, (1988)
[10]
Hagan T.N., Safe and Cost-Efficient Drilling and Blasting for Tunnels, Caverns, Shafts and Raises in India, (1992)