Vibration Data Analysis to Optimize the Blast Design and Improve Shovel Productivity

- Organization:
- International Society of Explosives Engineers
- Pages:
- 12
- File Size:
- 2236 KB
- Publication Date:
Abstract
The Enaex Mining Technical Solutions (EMTS) team, in partnership with the Anglo American Iron Ore Brazil drilling and blasting team, has developed a study aiming to optimize the blast design applied at the Minas-Rio project. The study consists of modeling the dynamic behavior of one lithological domain to determine the best configuration of drilling pattern, charge configuration, timing and sequencing of the blast designs applied at the mine in this particular rock. The first stage of the study was the recognition of the rock blast process in question, assessing key parameters that characterize this whole operation: geomechanical characteristics of the rock mass, implementation quality for drilling pattern and explosives charging (collar position, hole depth, explosive charge length and stemming size) and recognition of current blast designs. The central element of this study was the creation of a vibration attenuation and seed wave model which has allowed the characterization of this particular rock mass present in a region determined by the Minas-Rio team. The model is based on a near field vibration test,
constituting a powerful tool in the design of blast parameters. The blast design developed from the damage model simulations basically modified the timing and sequencing. The aim of this study was to improve the fragmentation resulted by the blasting, considering the particle size requirements demanded by the primary crusher and to increase the productivity of the loading and hauling operations. The results were analyzed considering the effective productivity of the two different fleet types of shovels, where the authors have analyzed more than 46000 values of productivity from September 2017 to August 2018, taken from the Dispatch system. A significant increase in effective productivity of these load equipment was observed, 7% to the PC4000 fleet and 2% to the PC5500 fleet, values supported by statistical parameters and hypothesis tests.
Citation
APA:
Vibration Data Analysis to Optimize the Blast Design and Improve Shovel ProductivityMLA: Vibration Data Analysis to Optimize the Blast Design and Improve Shovel Productivity. International Society of Explosives Engineers,