Abstract
Rock drilling is one of the most essential operations in mining and allied industries. This study focuses on the quantification of physico-mechanical rock properties using dominant frequencies from the sound signal generated through diamond core drilling operations. The rock drilling experiments were performed on five different types of rock samples using a computer numerical control drilling machine. Using simple linear regression analysis, satisfactory mathematical equations were developed between various physico-mechanical rock properties, namely, uniaxial compressive strength, Brazilian tensile strength, density and dominant frequencies of sound level were generated during diamond core drilling operations. The developed models can be utilised for quantification of rock properties with an acceptable degree of accuracy in realistic applications.
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References
H. Vardhan, G.R. Adhikari, M. Govindaraj, Estimating rock properties using sound levels produced during drilling. Int. J. Rock Mech. Min. Sci. 46, 604–612 (2009)
L. Obert, Use of sub audible noises for prediction of rock bursts—part I. U.S. Bureau of Mines R.I.3555 (1941)
L. Obert, W. Duvall, Use of sub audible noises for prediction of rock bursts—part II. U.S. Bureau of Mines R.I.3654 (1942)
H.R. Hardy, Application of Acoustic Emission Techniques to Rock Mechanics Research Acoustic Emission, ASTM STP 505 (American Society for Testing and Materials, West Conshohocken, 1972), pp. 41–83
F. Rafavich, C.H. Kendall, T.P. Todd, The relationship between acoustic properties and the petrographic character of carbonate rocks. Geophysics 49(10), 1622–1636 (1984)
G.H. McNally, The prediction of geotechnical rock properties from sonic and neutron logs. Aust. Soc. Explor. Geophys. 21(1/2), 65–71 (1990)
M. Zborovjan, Identification of minerals during drilling process via acoustic signal. Metall. Foundry 26(4), 367–374 (2001)
M. Zborovjan, Identification of minerals from sound during drilling. Semestral Project TU-Kosice, Poland (2002)
M. Zborovjan, I. Lesso, L. Dorcak, Acoustic identification of rocks during drilling process. Acta Montan. Slovaca 8(4), 191–193 (2003)
V. Miklusova, L. Usalova, L. Ivanicova, F. Krepelka, Acoustic signal-new feature in monitoring of rock disintegration process, in Contributions to Geophysics Geodesy, SAS36, SI6SGK, pp. 125–133 (2006)
F. Krepelka, J. Futo, Acoustics aspects of technological process in the rock identification. Acta Montan. Slovaca 12(1), 25–28 (2007)
C. Gradl, A.W. Eusteslll, G. Thonhauser, An analysis of noise characteristics of drill bits. J. Energy Resour. Technol. ASME 134(013103), 1–6 (2007)
H. Vardhan, ChSN Murthy, An experimental investigation of jack hammer drill noise with special emphasis on drilling in rocks of different compressive strengths. Noise Control Eng. J. 55(3), 282–293 (2007)
B.R. Kumar, H. Vardhan, M. Govindaraj, A new approach for estimating of rock properties of metamorphic rocks. Int. J. Min. Miner. Eng. 3(2), 109–123 (2011)
B.R. Kumar, H. Vardhan, M. Govindaraj, Prediction of uniaxial compressive strength, tensile strength and porosity of sedimentary rocks using sound level produced during rotary drilling. Rock Mech. Rock Eng. 44, 613–620 (2011)
B.R. Kumar, H. Vardhan, M. Govindaraj, Sound level produced during rock drilling vis-à-vis rock properties. Eng. Geol. 123(4), 333–337 (2011)
B.R. Kumar, H. Vardhan, M. Govindaraj, G.S. Vijay, Regression analysis and ANN models to predict rock properties from sound levels produced during drilling. Int. J. Rock Mech. Min. Sci. 58, 61–72 (2013)
B.R. Kumar, H. Vardhan, M. Govindaraj, P.S. Saraswathi, Artificial neural network model for prediction of rock properties from sound levels produced during drilling. Int. J. Geomech. Geoeng. 8(1), 53–61 (2013)
S.B. Kivade, ChSN Murthy, H. Vardhan, ANN models for prediction of sound and penetration rate in percussive drilling. J. Inst. Eng. India Ser. D 96(2), 93–103 (2015)
M.S. Delibalta, S. Kahraman, R. Comakli, The usability of noise level from rock cutting for the prediction of physico-mechanical properties of rocks. Fluct. Noise Lett. 14(1), 1550006-1–1550006-12 (2015)
S. Shreedharan, C. Hegde, S. Sharma, H. Vardhan, Acoustic fingerprinting for rock identification during drilling. Int. J. Min. Miner. Eng. 5(2), 89–105 (2014)
F. Forouharmajd, Z. Mohammadi, M. Ahmadvand, F. Forouharmajd, Sound pressure level tools design used in occupational health by means of Labview software. Int. J. Environ. Health Eng. 4(1), 1–6 (2015)
E.T. Brown, Characterization Testing and Monitoring (International Society for Rock Mechanics (ISRM) Suggested Methods, Pergamon, 1981)
M. Mellor, I. Hawkes, Measurement of tensile strength by diametral compression of discs and annuli. Eng. Geol. 5, 173–225 (1971)
R. Ulusay, J.A. Hudson, The Complete ISRM Suggested Methods for Rock Characterization Testing and Monitoring: 1974–2006. Compilation arranged by the ISRM Turkish National Group, Ankara, Turkey (2007). ISBN: 978-975-93675-4-1
S. Kahraman, M.S. Delibalta, R. Comakli, Noise level measurement test to predict the abrasion resistance of rock aggregates. Fluct. Noise Lett. 12(4), 1350021-1-12 (2013)
B. Kalyan, C.S.N. Murthy, R.P. Choudhary, Development of predictive models for the specific energy in indentation of rocks, In: H.S. Venkatesh, V.Venkateswarlu (eds.) Recent Advances in Rock Engineering (RARE), Atlantis Press, pp. 530–535 (2016)
Masood, Estimation of sound level produced during drilling of igneous rock samples using a portable drill set-up, Global challenges policy frame work & sustainable development for mining of mineral and fossil energy resources (GCPF). Procedia Earth Planet. Sci. 11, 469–482 (2015)
J. Macias, Optimal operational TBM parameters for efficient hardrock tunnel boring on the basis of rock boreability and on-site testing, in International Conference on Tunnel Boring Machines in Difficult Grounds (TBM DiGS), Wuhan, 16–18 Nov (2017)
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The authors would like to sincerely covey their gratitude to the reviewers for their comments and suggestions towards the improvement in this manuscript and acknowledge the centre system design (CSD) NITK Surathkal for providing Data Acquisition System (DAQ) for this research work.
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Vijaya Kumar, C., Vardhan, H. & Murthy, C.S.N. Quantification of Rock Properties Using Frequency Analysis During Diamond Core Drilling Operations. J. Inst. Eng. India Ser. D 100, 67–81 (2019). https://doi.org/10.1007/s40033-019-00174-5
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DOI: https://doi.org/10.1007/s40033-019-00174-5