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Competitive algorithm to balance and predict blasting outcomes using measured field data sets

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Abstract

In this investigation, a new technique termed Firefly-XGBoost was developed to forecast and reconcile blasting results like mean fragmentation size (MFS) and peak particle velocity (PPV). As a result, the particle swarm optimization (PSO) algorithm and firefly algorithm were used to enhance the effectiveness of the XG Boost conventional model. A total of 152 blast experiments were performed at three different mines, and data acquired from these experiments were used to train the model. This data included special feature of joints spanning height (JSH), and other blast parameters like the number of joint sets, the total quantity of explosives, stemming length, decking length, maximum charge/delay, and rock uni-axial compressive strength (UCS).The XG Boost, PSO-XG Boost, and Firefly XG Boost algorithms were compared, and the Firefly-XG Boost findings were superior according to RMSE and R2 values.

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Data availability

Available in https://github.com/SriChandrahas/XGBoost-Public/blob/ 6c14d4a4ae26f6c8f3c6e2763594235c5145eee2/XGBOOST_FRAG.ipynb.

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Acknowledgements

I would like to express my heartfelt gratitude to my mentor, B.S. Choudhary, Associate Professor, IIT (ISM) Dhanbad, for meticulously tracking and adding his research inputs to this paper. I am always grateful to my college IIT (ISM) Dhanbad. I would like to express my gratitude to the Principal, Director, and management of Malla Reddy Engineering College, Hyderabad for allocating adequate time to carry out research.

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This research received no external funding. Informed Consent Statement: Informed consent was obtained from all subjects involved in the study.

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Authors and Affiliations

  1. Mining Engineering Department, IIT(ISM) Dhanbad, Dhanbad, India

    N. Sri Chandrahas & B. S. Choudhary

  2. Mining Engineering Department, Malla Reddy Engineering College, Hyderabad, India

    N. Sri Chandrahas & M. S. Venkataramayya

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  1. N. Sri Chandrahas
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  2. B. S. Choudhary
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  3. M. S. Venkataramayya
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Conceptualization, methodology, investigation, software and writing— original draft preparation has been conducted by N Sri Chandrahas.; supervision and formal analysis have been conducted by BS Choudhary., writing—review and editing done by M.S.Venkataramayya. All authors have read and agreed to the published version of the manuscript.

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Correspondence to N. Sri Chandrahas.

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Chandrahas, N.S., Choudhary, B.S. & Venkataramayya, M.S. Competitive algorithm to balance and predict blasting outcomes using measured field data sets. Comput Geosci 27, 1087–1110 (2023). https://doi.org/10.1007/s10596-023-10254-x

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