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Estimation of Specific Energy and Evaluation of Roadheader Performance Using Rock Properties and Bond Work Index

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Abstract

Specific energy (SE) is defined as the amount of work required to cut a unit volume of rock and is used to estimate the performance of excavation machines. Generally, the SE value is produced from full-scale or small-scale rock cutting tests. However, these tests require expensive equipment and experienced personnel, and the testing procedure is time consuming and impractical. Therefore, for estimation of SE, this study aimed to find a solution to estimate SE using rock mechanics test results and Bond work index values (BWi), which can be produced in a more practical, less time-consuming manner and with inexpensive test equipment. Small-scale rock cutting, rock mechanics and Bond work index tests were carried out on seven rock samples, which can be grouped into two different type of rocks: marble and travertine. In addition, the instantaneous cutting rates (ICR) of a selected roadheader were calculated using SE values. Rock mechanics tests performed in this study were uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), ultrasonic velocity (Vp), Schmidt rebound hardness (RL), corrected point load index (Is(50)) and density (ρ). The simple regression method was used to estimate SE from rock properties and BWi. As a result of this simple regression, a significant and highest correlation was found between SE vs. UCS and Is(50). A good correlation was found between SE vs. BTS, RL and BWi values. A moderate correlation was found between SE vs. Vp and ρ.

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References

  1. Fowell RJ, McFeat-Smith I (1976) Factors influencing the cutting performance of a selective tunneling machine. In: Tunneling’76. Inst of Mining and Metallurgy, London, UK, pp 3–10

    Google Scholar 

  2. McFeat-Smith I, Fowell RJ (1977) Correlation of rock properties and the cutting performance of tunnelling machines. In: Conference on rock engineering. New Castle upon Tyne, UK, pp 581–602

    Google Scholar 

  3. McFeat-Smith I, Fowell RJ (1979) The selection and application of roadheaders for rock tunneling. In: Proceedings of the 4th rapid excavation and Tunnelling conference. Atlanta, USA, pp 261–280

    Google Scholar 

  4. Rostami J, Ozdemir L, Neil DM (1994) Performance prediction: a key issue in mechanical hard rock mining. Min Eng 46(11):1263–1267

    Google Scholar 

  5. Bilgin N, Yazici S, Eskikaya S (1996) A model to predict the performance of roadheaders and impact hammers in tunnel drivages. In: Proceedings of ISRM international symposium-Eurock’96. Turin, Italy, pp 715–720

    Google Scholar 

  6. Bilgin N, Balci C, Eskikaya S, Ergunalp D (1997) Full-scale and small-scale cutting tests for equipment selection in a celestite mine. In: 6th international symposium on mine planning and equipment selection. CRC, London, pp 387–392. https://doi.org/10.1201/9781003078166

  7. Bilgin N, Kuzu C, Eskikaya S, Özdemir L (1997) Cutting performance of jack hammers and roadheaders in Istanbul metro drivages. In: World tunnel congress. Austria, Vienna, pp 455–460

    Google Scholar 

  8. Çopur H, Tunçdemir H, Bilgin N, Dinçer T (2001) Specific energy as a criterion for the use of rapid excavation systems in Turkish mines. Min Technol 110(3):149–157. https://doi.org/10.1179/mnt.2001.110.3.149

    Article  Google Scholar 

  9. Bilgin N, Dinçer T, Copur H (2002) The performance prediction of impact hammers from Schmidt hammer rebound values in Istanbul metro tunnel drivages. Tunn Undergr Space Technol 17:237–247. https://doi.org/10.1016/S0886-7798(02)00009-3

    Article  Google Scholar 

  10. Altindag R (2003) Correlation of specific energy with rock brittleness concepts on rock cutting. J South Afr Inst Min Metall 103:163–171

    Google Scholar 

  11. Copur H, Bilgin N, Tuncdemir H, Balci C (2003) A set of indices based on indentation tests for assessment of rock cutting performance and rock properties. J South Afr Inst Min Metall 103(9):589–600

    Google Scholar 

  12. Balci C, Demircin MA, Copur H, Tuncdemir H (2004) Estimation of optimum specific energy based on rock properties for assessment of roadheader performance. J South Afr Inst Min Metall 104(11):633–641

    Google Scholar 

  13. Öztürk CA, Nasuf E, Bilgin N (2004) The assessment of rock cutability, and physical and mechanical rock properties from a texture coefficient. J South Afr Inst Min Metall 104(7):397–402

    Google Scholar 

  14. Bilgin N, Demircin MA, Copur H, Balci C, Tuncdemir H, Akcin N (2006) Dominant rock properties affecting the performance of conical picks and the comparison of some experimental and theoretical results. Int J Rock Mech Min Sci 43(1):139–156. https://doi.org/10.1016/j.ijrmms.2005.04.009

    Article  Google Scholar 

  15. Tiryaki B, Dikmen AC (2006) Effects of rock properties on specific cutting energy in linear cutting of sandstones by picks. Rock Mech Rock Eng 39(2):89–120

    Article  Google Scholar 

  16. Tiryaki B (2006) Evaluation of the indirect measures of rock brittleness and fracture toughness in rock cutting. J South Afr Inst Min Metall 106(6):407–423

    Google Scholar 

  17. Balci C, Bilgin N (2007) Correlative study of linear small and full-scale rock cutting tests to select mechanized excavation machines. Int J Rock Mech Min Sci 44(3):468–476. https://doi.org/10.1016/j.ijrmms.2006.09.001

    Article  Google Scholar 

  18. Tumac D, Bilgin N, Feridunoglu C, Ergin H (2007) Estimation of rock cuttability from shore hardness and compressive strength properties. Rock Mech Rock Eng 40(5):477–490

    Article  Google Scholar 

  19. Copur H (2010) Linear stone cutting tests with chisel tools for identification of cutting principles and predicting performance of chain saw machines. Int J Rock Mech Min Sci 47(1):104–120. https://doi.org/10.1016/j.ijrmms.2009.09.006

    Article  Google Scholar 

  20. Copur H, Balci C, Tumac D, Bilgin N (2011) Field and laboratory studies on natural stones leading to empirical performance prediction of chain saw machines. Int J Rock Mech Min Sci 48(2):269–282. https://doi.org/10.1016/j.ijrmms.2010.11.011

    Article  Google Scholar 

  21. Copur H, Balci C, Bilgin N, Tumac D, Avunduk E (2012) Predicting cutting performance of chisel tools by using physical and mechanical properties of natural stones. In: Proceedings of ISRM International Symposium, EUROCK’2012, Stockholm, Sweden

  22. Dogruoz C, Bolukbasi N (2014) Effect of cutting tool blunting on the performances of various mechanical excavators used in low- and medium-strength rocks. Bull Eng Geol Environ 73:781–789

    Article  Google Scholar 

  23. Comakli R, Kahraman S, Balci C (2014) Performance prediction of roadheaders in metallic ore excavation. Tunn Undergr Space Technol 40:38–45. https://doi.org/10.1016/j.tust.2013.09.009

    Article  Google Scholar 

  24. Bilgin N, Copur H, Balci C (2014) Mechanical excavation in mining and civil industries. CRC, Boca Raton

    Google Scholar 

  25. Dursun AE, Gokay MK (2016) Cuttability assessment of selected rocks through different brittleness values. Rock Mech Rock Eng 49(4):1173–1190. https://doi.org/10.1007/s00603-015-0810-2

    Article  Google Scholar 

  26. He X, Xu C (2015) Specific energy as an index to identify the critical failure mode transition depth in rock cutting. Rock Mech Rock Eng 49(4):1461–1478. https://doi.org/10.1007/s00603-015-0819-6

    Article  Google Scholar 

  27. Tumac D, Copur H, Balci C, Er S, Avunduk E (2018) Investigation into the effects of textural properties on cuttability performance of a chisel tool. Rock Mech Rock Eng 51(4):1227–1248

    Article  Google Scholar 

  28. Deniz V, Ozdag H (2003) A new approach to Bond grindability and work index: dynamic elastic parameters. Min Eng 16(3):211–217. https://doi.org/10.1016/S0892-6875(02)00318-7

    Article  Google Scholar 

  29. Özkahraman H (2005) A meaningful expression between Bond work index, grindability index and friability value. Min Eng 18(10):1057–1059. https://doi.org/10.1016/j.mineng.2004.12.016

    Article  Google Scholar 

  30. Ozer U, Cabuk E (2007) Relationship between Bond work index and rock parameters. Ist U J Earth Sci Rev 20(1):43–49

    Google Scholar 

  31. Haffez GSA (2012) Correlation between work index and mechanical properties of some Saudi ores. Mater Test 54(2):108–112. https://doi.org/10.3139/120.110302

    Article  Google Scholar 

  32. Aras A, Ozkan A, Aydogan S (2012) Correlations of Bond and breakage parameters of some ores with the corresponding point load index. Part Part Syst Charact 29(3):204–210. https://doi.org/10.1002/ppsc.201100019

    Article  Google Scholar 

  33. Chandar KR, Deo SN, Baliga AJ (2016) Prediction of Bond's work index from field measurable rock properties. Int J Miner Process 157:134–144. https://doi.org/10.1016/j.minpro.2016.10.006

    Article  Google Scholar 

  34. Ulusay R, Hudson JA (2007) The complete ISRM suggested methods for rock characterization, testing and monitoring: 1974–2006. International Society for Rock Mechanics. Commission on testing methods. Springer, London

    Google Scholar 

  35. Bond FC (1961) Crushing and grinding calculations-part 1. Br Chem Eng 6:378–385

    Google Scholar 

  36. Copur H, Rostami J, Ozdemir L, Bilgin N (1997) Studies on performance prediction of roadheaders. In: Proceedings of the 4th international symposium on mine mechanization and automation, 1997. Brisbane, Qld., Australia, pp 4A1–4A7

  37. Copur H, Ozdemir L, Rostami J (1998) Roadheader applications in mining and tunneling industries. Min Eng 50(3):38–42

    Google Scholar 

  38. Bilgin N, Seyrek T, Shahriar K (1988) Golden Horn clean-up contributes valuable data. Tunn Tunnel 20:41–44

    Google Scholar 

  39. Bilgin N, Dinçer T, Copur H, Erdogan M (2004) Some geological and geotechnical factors affecting the performance of a roadheader in an inclined tunnel. Tunn Undergr Space Technol 19:629–636. https://doi.org/10.1016/j.tust.2004.04.004

    Article  Google Scholar 

  40. Gehring KH (1989) A cutting comparison. Tunn Tunnel 21(11):27–30

    Google Scholar 

  41. Thuro K, Plinninger R (1999) Roadheader excavation performance-geological and geotechnical influences. In: 9th ISRM congress. France, Paris, pp 1241–1244

    Google Scholar 

  42. Ocak I, Bilgin N (2010) Comparative studies on the performance of a roadheader, impact hammer and drilling and blasting method in the excavation of metro station tunnels in Istanbul. Tunn Undergr Space Technol 25(2):181–187

    Article  Google Scholar 

  43. Ebrahimabadi A, Goshtasbi K, Shahriar K, Cheraghi Seifabad M (2011) A model to predict the performance of roadheaders based on the rock mass brittleness index. J South Afr Inst Min Metall 111:355–364

    Google Scholar 

  44. Kahraman E, Kahraman S (2015) The performance prediction of roadheaders from easy testing methods. Bull Eng Geol Environ 75:1585–1596. https://doi.org/10.1007/s10064-015-0801-2

    Article  Google Scholar 

  45. Comakli R (2019) Performance of roadheaders in low strength pyroclastic rocks, a case study of cold storage caverns in Cappadocia. Tunn Undergr Space Technol 89:179–188. https://doi.org/10.1016/j.tust.2019.04.00

    Article  Google Scholar 

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Acknowledgements

The authors are indebted to Dr. Gürsel Kansun for his valuable contributions.

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Correspondence to Hakan Özşen.

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Özşen, H., Dursun, A.E. & Aras, A. Estimation of Specific Energy and Evaluation of Roadheader Performance Using Rock Properties and Bond Work Index. Mining, Metallurgy & Exploration 38, 1923–1932 (2021). https://doi.org/10.1007/s42461-021-00454-3

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