Chandrakanta Behera
National Institute of Technology Rourkela, Veer Surendra Sai University of Technology
0009-0006-8568-0560
About
Chandrakanta Behera is a Ph.D. scholar in Mining Engineering at the National Institute of Technology Rourkela, India. His research focuses on blast-induced rock fragmentation and the prediction and optimization of mean fragment size in open-pit mining operations.
His research interests include rock blasting, blast fragmentation, mine-to-mill optimization, rock mechanics, drilling and blasting, machine learning, deep learning, hybrid intelligent models, metaheuristic optimization, explainable artificial intelligence, and data-driven approaches for mining engineering applications.
His current research investigates the integration of geological, geomechanical, operational, and blasting parameters with advanced machine-learning and optimization techniques to improve the prediction of blast-induced rock fragmentation. His work aims to contribute toward more efficient, sustainable, and intelligent surface mining operations.
His research has involved collaboration and industrial applications associated with major mining and steel organizations in India, including Tata Steel Ltd., JSW Steel Ltd., and Odisha Mining Corporation. He has also contributed to the scholarly community through peer-review activities for international journals in mining, engineering, computational methods, and applied sciences.
Employment
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National Institute of Technology Rourkela Ph.D. Research Scholar2022 - Present
Education
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Veer Surendra Sai University of Technology M. Tech2017 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (10)
- Energy-based prediction of blast-induced rock fragmentation using interpretable machine learning Save
- Experimental Evaluation of Stemming Materials in Open Pit Bench Blasting using a Mechanistic Index Framework Save
- Development and validation of a geological strength index and crack indices based framework for predicting blast-induced rock fragmentation Save
- Vulnerability Index-Based Risk Assessment of Blast Fragmentation: Comparative Analysis of RES and ANFIS Methodologies Save
- A Robust Framework for Blast Fragmentation and Risk Mitigation: A Comparative Analysis Save
- Rock mass classification for estimating the drilling rate in a surface mine using rock mass drillability index Save
- Incorporating the Geological Strength Index (GSI) of the transmission strata into the attenuation law of ground vibration from open pit bench blasting operations: An investigative approach Save
- Estimation of Safe Ground Vibration Levels Due to Open Pit Bench Blasting in Hard Rock Mines: A Probabilistic Approach Save
- Geotechnical Implications of Large Shale Deposits on the Stability and Productivity of Iron Ore Mines: A Comparative Study Save
- Prediction of blast-induced ground vibration using multivariate statistical analysis in the opencast chromite mines of the Indian State of Odisha Save