Digital analysis of shovel dig time to optimize explosive usage vis-à-vis strata parameters

Efficient excavation in open-pit mining is critically dependent on the interplay between blast-induced rock fragmentation and the productivity of loading equipment. Traditional approaches often overlook the direct impact of explosive energy on shovel dig rates and overall operational efficiency. This study introduces a digital methodology using CyclePro™ software to analyze shovel cycle times and optimize explosive usage based on strata parameters. A total of 12 controlled blasts were conducted in identical geological conditions using varying explosive densities. Excavator productivity was assessed through video-based cycle time analysis, focusing on dig time, swing time, and dump time. The results revealed a clear correlation: higher explosive densities (1.15 gm/cc) led to improved fragmentation, faster dig rates (12.4 s), and higher productivity (519 Cu M/h), albeit at increased cost. Conversely, lower densities (0.6 gm/cc) reduced cost per cubic meter but compromised productivity and dig efficiency. These findings highlight a trade-off between cost and operational performance, suggesting that mid-range explosive densities offer an optimal balance. The study demonstrates the value of integrating digital analysis tools in blast design to enhance decision-making and cost-effectiveness in open-cast mining operations.

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Publication Details

Journal
Discover Applied Sciences
Published
2025-11-03
DOI
https://doi.org/10.1007/s42452-025-07755-y
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
0.00

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article

Digital analysis of shovel dig time to optimize explosive usage vis-à-vis strata parameters

A. K. Mishra, Sujit Kumar
Discover Applied Sciences
Mining Techniques and Economics
article

Digital analysis of shovel dig time to optimize explosive usage vis-à-vis strata parameters

A. K. Mishra, Sujit Kumar
article en

Abstract

Efficient excavation in open-pit mining is critically dependent on the interplay between blast-induced rock fragmentation and the productivity of loading equipment. Traditional approaches often overlook the direct impact of explosive energy on shovel dig rates and overall operational efficiency. This study introduces a digital methodology using CyclePro™ software to analyze shovel cycle times and optimize explosive usage based on strata parameters. A total of 12 controlled blasts were conducted in identical geological conditions using varying explosive densities. Excavator productivity was assessed through video-based cycle time analysis, focusing on dig time, swing time, and dump time. The results revealed a clear correlation: higher explosive densities (1.15 gm/cc) led to improved fragmentation, faster dig rates (12.4 s), and higher productivity (519 Cu M/h), albeit at increased cost. Conversely, lower densities (0.6 gm/cc) reduced cost per cubic meter but compromised productivity and dig efficiency. These findings highlight a trade-off between cost and operational performance, suggesting that mid-range explosive densities offer an optimal balance. The study demonstrates the value of integrating digital analysis tools in blast design to enhance decision-making and cost-effectiveness in open-cast mining operations.

Discover Applied SciencesVol. 7(11)
Indian Institute of Technology Dhanbad (IN), Central Institute of Mining and Fuel Research (IN)
Tata Steel
Openalex Percentile: Top 59%
Mining Techniques and Economics
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Digital analysis of shovel dig time to optimize explosive usage vis-à-vis strata parameters — A. K. Mishra, Sujit Kumar · Discover Applied Sciences (2025) | TGRS Research Map | TGRS