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Quantification of Rock Strength Using the Mechanical Drilling Parameters

  • Conference paper
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International Conference on Emerging Trends in Engineering (ICETE)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 2))

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Abstract

The estimation of rock strength is most often required for the preliminary stage of rock engineering projects. The determination of rock strength properties in the laboratory is reliable, but the availability of a number of fine quality core samples for lab testing is very difficult. In this study, an attempt is made to investigate the usability of variations of thrust developed at the rock-bit interface and vibration frequency generated in the drilling machine head for estimation of rock strength during the rotary drilling. The variation of thrust and vibration frequency during drilling is measured using sophisticated digital type drilling dynamometer and data acquisition system (DAQ) with accelerometer sensor respectively. The second order regression models were developed to predict the rock strength such as uniaxial compressive strength considering the machine operating parameters and measured variables. The evaluation of the prediction ability of the developed models was checked using the three performance indices known as VAF, RMSE, and MAPE. The results revealed that the approached method is highly efficient for estimation of rock strength during rotary drilling.

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Author information

Authors and Affiliations

  1. Department of Mining Engineering, N.I.T.K, Surathkal, 575025, Karnataka, India

    C. R. Lakshminarayana & Anup K. Tripathi

  2. Department of Mining Engineering, IIT, Kharagpur, 721302, West Bengal, India

    Samir K. Pal

Authors
  1. C. R. Lakshminarayana
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  2. Anup K. Tripathi
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  3. Samir K. Pal
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Corresponding author

Correspondence to C. R. Lakshminarayana .

Editor information

Editors and Affiliations

  1. Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju

  3. University College of Engineering, Osmania University, Hyderabad, India

    Kumar Molugaram

  4. Department of Mechanical Engineering, Osmania University, University College of Engineering , Hyderabad, India

    Arkanti Krishnaiah

  5. Department of Informatics, University of Piraeus , Piraeus, Greece

    George A. Tsihrintzis

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Lakshminarayana, C.R., Tripathi, A.K., Pal, S.K. (2020). Quantification of Rock Strength Using the Mechanical Drilling Parameters. In: Satapathy, S., Raju, K., Molugaram, K., Krishnaiah, A., Tsihrintzis, G. (eds) International Conference on Emerging Trends in Engineering (ICETE). Learning and Analytics in Intelligent Systems, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-030-24314-2_44

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  • DOI: https://doi.org/10.1007/978-3-030-24314-2_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24313-5

  • Online ISBN: 978-3-030-24314-2

  • eBook Packages: EngineeringEngineering (R0)

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