Advanced Analysis of Collision-Induced Blast Fragmentation in V-Type Firing Pattern

Lalit Singh Chouhan (), Avtar K. Raina, V. M. S. R. Murthy, Mohanad Muayad Sabri Sabri, Edy Tonnizam Mohamad and Ramesh Murlidhar Bhatawdekar
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Lalit Singh Chouhan: Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad 826 004, India
Avtar K. Raina: CSIR-Central Institute of Mining and Fuel Research, Nagpur 440001, India
V. M. S. R. Murthy: Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad 826 004, India
Mohanad Muayad Sabri Sabri: Centre of Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
Edy Tonnizam Mohamad: Centre of Tropical Geoengineering (GEOTROPIK), Institute of Smart Infrastructure and Innovative Construction (ISiiC), Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
Ramesh Murlidhar Bhatawdekar: Centre of Tropical Geoengineering (GEOTROPIK), School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia

Sustainability, 2022, vol. 14, issue 23, 1-17

Abstract: The firing pattern of blastholes influences the geometric aspects of a blast design in terms of change in blasting burden and spacing. This in turn changes the effective stiffness of a blasthole and confinement of the explosive and aids in better fragmentation. However, during the blasting, the fragments tend to collide and further fragment the rock. In comparison with other patterns, the V-type firing pattern increases the chances of collision between the fragments during flight. The process is scantly documented and accordingly field experiments were conducted using three firing patterns, viz., line, diagonal, and V-type, in a mine with minor variation in rock factor and minor to moderate changes in blast design variables. Sixteen blast design variables such as burden, spacing, charge per hole, in-hole charge density, etc. along with firing pattern were considered for the analysis and fragmentation modeled with the help of surface response analysis and artificial neural networks. The analysis revealed that there is a significant influence of firing patterns on fragmentation. The V-type pattern showed significant reduction in fragment sizes that can be ascribed to in-flight collision processes. A surface response model was developed using advanced ANOVA and resulted in an adjusted R 2 and RMSE of 0.89, 0.025, respectively. Further, modeling with ANN was attempted that showed better results than ANOVA with R 2 and RMSE of 0.96 and 0.040 in training, and 0.884 and 0.049 in validation tests. Since, diagonal and V-type patterns have similar design parameters, the reduction in fragment size in the former pattern can be ascribed to the collision of rock fragments during their flight in blasting.

Keywords: blasting; V-type firing pattern; collision fragmentation; RSA; ANN (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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