Document Type : Original Research Paper
Authors
- Sri Chandrahas 1
- Bhanwar Singh Choudhary 2
- MS Venkataramayya 3
- Yewuhalashet Fissha 4
- Blessing Olamide Taiwo 5
1 GMMCO Technology Services Limited (GTS LTD)
2 Department of Mining Engineering, IIT(ISM) Dhanbad
3 Department of Mining Engineering, COE,OU, Hyderabad
4 Department of Geosciences, Geo-technology and Materials Engineering for Resources, Graduate School of International Resource Sciences, Akita University, Akita, Japan
5 Mining Engineering Department, Federal University of Technology Akure, Nigeria
Abstract
To conducting efficient blasting operations, one needs to analyze the bench geology, structural and dimensional parameters to obtain the required optimum fragmentation with minimum amount of ground vibration. Joints presence causes difficulty during drilling and subsequent rock breakage mechanism. An idea on joints density will give an idea on deciding with column charging in-terms of decking-stemming and firing patterns. The goal of the research is to develop a hybrid algorithm model to predict joints width and joint angle. In order to achieve the task, advanced softwares, machine learning models and a field data tests were used in this study.
Keywords
Main Subjects
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