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Dissecting the Robustness of the Rock Mass Classification Methods Used in Jiaozhou Bay Subsea Tunnel

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Abstract

To confirm the robustness of a tunnel, the quality of the rock mass is usually evaluated by several rock mass classification (RMC) systems before its design. Besides, the accuracy of the RMC should be checked through the correlations between different RMC systems. The relationship between the different RMC systems and P-wave velocity indexes is conducive to the interpretation of the rock mass. Here, based on linear or nonlinear regression analysis of 231 samples, we established the RMR–Q, [BQ]–Q, and [BQ]–RMR relationships with R2 = 0.935, 0.732, and 0.759, respectively. Further analysis showed that the grading differences between any two RMC systems yield different characteristics when the rock mass score is at different intervals. To evaluate the relations between RMC indexes and P-wave velocity, we conducted a group study on the different grading differences among RMR, Q, or BQ. Depending on the consistency of the grading results, we arranged the values from large to small as the amplitude of the slope of the curve, and the grading results differed by either one or two levels. Our data demonstrated that the grading differences between the systems are proportional to the discontinuous state of rock mass in the classification. In addition, the classification results of Q, RMR, and BQ showed more significant differences when less consideration is given to the integrity of the rock mass.

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References

  1. Fang Q, Zhang D, Zhou P, Wong LNY (2013) Ground reaction curves for deep circular tunnels considering the effect of ground reinforcement. Int J Rock Mech Min 60:401–412. https://doi.org/10.1016/j.ijrmms.2013.01.003

    Article  Google Scholar 

  2. Liu Z, Dang W (2014) Rock quality classification and stability evaluation of undersea deposit based on M-IRMR. Tunn Undergr Sp Tech 40:95–101. https://doi.org/10.1016/j.tust.2013.09.013

    Article  Google Scholar 

  3. Warren SN, Kallu RR, Barnard CK (2016) Correlation of the rock mass rating (RMR) system with the unified soil classification system (USCS): introduction of the weak rock mass rating system (W-RMR). Rock Mech Rock Eng 49(11):4507–4518. https://doi.org/10.1007/s00603-016-1090-1

    Article  Google Scholar 

  4. Jorda-Bordehore L (2017) Stability assessment of natural caves using empirical approaches and rock mass classifications. Rock Mech Rock Eng 50(8):2143–2154. https://doi.org/10.1007/s00603-017-1216-0

    Article  Google Scholar 

  5. Zhang Q, Huang X, Zhu H, Li J (2019) Quantitative assessments of the correlations between rock mass rating (RMR) and geological strength index (GSI). Tunn Undergr Sp Tech 83:73–81. https://doi.org/10.1016/j.tust.2018.09.015

    Article  Google Scholar 

  6. Yu L, Zhang D, Fang Q, Cao L, Xu T, Li Q (2019) Surface settlement of subway station construction using pile-beam-arch approach. Tunn Undergr Sp Tech 90:340–356. https://doi.org/10.1016/j.tust.2019.05.016

    Article  Google Scholar 

  7. Bieniawski ZT (1974) Engineering classification of jointed rock masses. Int J Rock Mech Min 11(5):98. https://doi.org/10.1016/0148-9062(74)90924-3

    Article  Google Scholar 

  8. Barton N, Lien R, Lunde J (1974) Engineering classification of rock masses for the design of tunnel support. Rock Mech 6(4):189–236. https://doi.org/10.1007/BF01239496

    Article  Google Scholar 

  9. GB 50218-2014 (2014) Standard for Engineering Classification of Rock Mass. Ministry of Housing and Urban-Rural Development of the People’s Republic of China, Beijing (in Chinese)

  10. Choi SY, Park HD (2002) Comparison among different criteria of RMR and Q-system for rock mass classification for tunnelling in Korea. Tunn Undergr Sp Tech 17(4):391–401. https://doi.org/10.1016/S0886-7798(02)00063-9

    Article  Google Scholar 

  11. Laderian A, Abaspoor MA (2011) The correlation between RMR and Q systems in parts of Iran. Tunn Undergr Sp Tech 27:149–158. https://doi.org/10.1016/j.tust.2011.06.001

    Article  Google Scholar 

  12. Bieniawski ZT (1985) Rock mechanics design in mining and tunneling. Int J Rock Mech Min 22(3):193–194. https://doi.org/10.1016/0148-9062(85)93235-8

    Article  Google Scholar 

  13. Barton N, Bieniawski ZT (2008) RMR and Q - Setting Records Straight. Tunnels & Tunnelling International, pp 26–29. https://www.researchgate.net/publication/290087135

  14. Hashemi M, Moghaddas Sh, Ajalloeian R (2010) Application of rock mass characterization for determining the mechanical properties of rock mass: a comparative study. Rock Mech Rock Eng 43(3):305–320. https://doi.org/10.1007/s00603-017-1199-x

    Article  Google Scholar 

  15. Sayeed I, Khanna R (2015) Empirical correlation between RMR and Q systems of rock mass classification derived from Lesser Himalayan and Central crystalline rocks. In: Proceeding of the International Conference on Engineering Geology in New Millennium. Journal Engineering of Geology, New Delhi. https://www.researchgate.net/profile/Rahul-Khanna-2/publication/283497675_Empirical_correlation_between_RMR_and_Q_systems_of_rock_mass_classification_derived_from_Lesser_Himalayan_and_Central_crystalline_rocks/links/563b2dab08ae405111a5e869/Empiricalcorrelation-between-RMR-and-Q-systems-of-rock-mass-classification-derived-from-Lesser-Himalayan-and-Central-crystalline-rocks.pdf

  16. Fernández-Gutiérrez JD, Perez-Acebo H, Mulone-Andere D (2017) Correlation between Bieniawski’s RMR index and Barton’s Q index in fine-grained sedimentary rock formations. Inf Constr 69:e205. https://doi.org/10.3989/id54459

    Article  Google Scholar 

  17. Rehman H, Ali W, Naji AM, Kim J, Abdullah RA, Yoo H (2018) Review of rock-mass rating and tunneling quality index systems for tunnel design: development, refinement, application and limitation. Appl Sci-Basel 8(8):1250. https://doi.org/10.3390/app8081250

    Article  Google Scholar 

  18. Yan R, Shen Y (2015) Correlation of revised BQ System in China and the international rock mass classification systems. J Civ Eng Res 5(2):33–38. https://doi.org/10.5923/j.jce.20150502.03

    Article  MathSciNet  Google Scholar 

  19. Bery AA, Rosli S (2012) Correlation of seismic P-wave velocities with engineering parameters (N value and rock quality) for tropical environmental study. Int J Geosci 3(4):749–757. https://doi.org/10.4236/ijg.2012.34075

    Article  Google Scholar 

  20. Cha YH, Kang JS, Jo CH (2006) Application of linear-array microtremor surveys for rock mass classification in urban tunnel design. Explor Geophys 37(1):108–113. https://doi.org/10.1071/EG06108

    Article  Google Scholar 

  21. Zafirovski Z, Peševski I, Papić J (2012) Methodology for extrapolation of rock mass deformability parameters in tunneling. Facta Univ Ser Archit Civ Eng 10(3):235–244. https://doi.org/10.2298/fuace1203235z

    Article  Google Scholar 

  22. Nourani MH, Moghadder MT, Safari M (2017) Classification and assessment of rock mass parameters in Choghart iron mine using P-wave velocity. J Rock Mech Geotech 9(2):318–328. https://doi.org/10.1016/j.jrmge.2016.11.006

    Article  Google Scholar 

  23. Barton N (2002) Some new Q-value correlations to assist in site characterisation and tunnel design. Int J Rock Mech Min 39(2):185–216. https://doi.org/10.1016/S1365-1609(02)00011-4

    Article  Google Scholar 

  24. Assim A, Xing ZY (2010) Most used rock mass classifications for underground opening. Am J Eng Appl Sci 3(2):403–411. https://doi.org/10.3844/ajeassp.2010.403.411

    Article  Google Scholar 

  25. Grimstad E, Barton N (1993) Updating of the Q system for NMT. In: Proceedings of the International Symposium on Sprayed Concrete-Modern Use of Wet Mix Sprayed Concrete for Underground Support. Norwegian Concrete Association, Oslo. https://www.researchgate.net/publication/284818046

  26. GB 50218-94 (1995) Standard for Engineering Classification of Rock Masses, Ministry of Housing and Urban-Rural Development of the People’s Republic of China, Beijing (in Chinese)

  27. Abad J, Celada B, Chacon E et al (1984) Application of geomechanical classification to predict the convergence of coal mine galleries and to design their supports. Int J Rock Mech Min 21(5):A181. https://doi.org/10.1016/0148-9062(84)92847-x

    Article  Google Scholar 

  28. Al-Harthi AA (1994) Application of CSIR and NGI classificationsystems along tunnel no. 3 at Al-Dela Descent, Asir Province,Saudi Arabia: proc 26th annual conference of the engineering group of the geological society, the engineering geology of weak rock. Int J Rock Mech Min Sci Geomech Abstr 31(2):A86. https://doi.org/10.1016/0148-9062(94)93011-2

    Article  Google Scholar 

  29. Bieniawski ZT (1977) Exploration for rock engineering. Volume 1 of the Proceedings of the symposium on exploration for rock engineering, Johannesburg, 1–5 November, 1976. Int J Rock Mech Min Sci Geomech Abstr 14(3):161–162. https://doi.org/10.1016/0148-9062(77)90010-9

    Article  Google Scholar 

  30. Cameron-Clarke LS, Budavari S (1981) Correlation of rock mass classification parameters obtained from bore core and in–situ observations. Eng Geol 17:19–53. https://doi.org/10.1016/0013-7952(81)90019-3

    Article  Google Scholar 

  31. Kaiser PK, MacKay C, Gale AD (1986) Evaluation of rock classifications at B. C. Rail tumbler ridge tunnels. Rock Mech Rock Eng 19:205–234. https://doi.org/10.1007/BF01039996

    Article  Google Scholar 

  32. Kumar N, Samadhiya NK, Anbalagan R (2004) Application of rock mass classification system for tunneling in Himalaya, India. Int J Rock Mech Min 41(3):531. https://doi.org/10.1016/j.ijrmms.2003.12.117

    Article  Google Scholar 

  33. Tuğrul A (1998) The application of rock mass classification systems to underground excavation in weak limestone, Ataturk dam, Turkey. Eng Geol 50(3–4):337–345. https://doi.org/10.1016/s0013-7952(98)00034-9

    Article  Google Scholar 

  34. Goel RK, Jethwa JL, Paithankar AG (1996) Correlation between Barton’s Q and Bieniawski’s RMR—a new approach. Int J Rock Mech Min 33(2):179–181. https://doi.org/10.1016/0148-9062(95)00057-7

    Article  Google Scholar 

  35. Yan T, Wu X, Wu L (2009) Correlation study on surrounding rockmass classification for underground cavern and its application. Chin J Undergr Sp Eng 5(6):1103–1108 ((in Chinese))

    Google Scholar 

  36. Shang J, Hencher SR, West LJ (2016) Tensile strength of geological discontinuities including incipient bedding, rock joints and mineral veins. Rock Mech Rock Eng 49(11):4213–4225. https://doi.org/10.1007/s00603-016-1041-x

    Article  Google Scholar 

  37. Zhang D, Fang Q, Lou H (2014) Grouting techniques for the unfavorable geological conditions of Xiang’an subsea tunnel in China. J Rock Mech Geotech 6(5):438–446. https://doi.org/10.1016/j.jrmge.2014.07.005

    Article  Google Scholar 

  38. Ramamurthy T, Latha GM, Sitharam TG (2017) Modulus ratio and joint factor concepts to predict rock mass response. Rock Mech Rock Eng 50(2):353–366. https://doi.org/10.1007/s00603-016-1112-z

    Article  Google Scholar 

Download references

Acknowledgements

The authors gratefully acknowledge the National Natural Science Foundation of China (Grant 51738002) and the financial support by the National Key R&D Program of China under Grant 2017YFC0805401.

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Correspondence to Qian Fang.

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Xu, T., Zhang, D., Li, A. et al. Dissecting the Robustness of the Rock Mass Classification Methods Used in Jiaozhou Bay Subsea Tunnel. Int J Civ Eng 19, 1473–1482 (2021). https://doi.org/10.1007/s40999-021-00625-9

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