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(사)한국터널지하공간학회

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Vol.15 No.2
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Probabilistic rock mass classification using electrical resistivity - Theoretical approach of relationship between RMR and electrical resistivity-

(사)한국터널지하공간학회 / (사)한국터널지하공간학회, (P)2233-8292; (E)2287-4747
2013, v.15 no.2, pp.97-111





& (2013). Probabilistic rock mass classification using electrical resistivity - Theoretical approach of relationship between RMR and electrical resistivity-. (사)한국터널지하공간학회, 15(2), 97-111.
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Abstract

It is very important to understand the condition of the surround rock for the successful construction of underground space. Representative methods of estimating the rock mass condition are RMR method and Q-system, and they are applied on design, construction, and maintenance. However, many problems with the accuracy of the measurement method and the subjective viewpoint are questioned continuously, so many researchers have been studied for estimating rock condition from various methods. Most of them show only the local relation and a tendency between site investigation data and rock conditions. In this paper, the relationship between RMR method and electrical resistivity is deducted using the analytical equation derived theoretically from electric field analysis on jointed rock mass. And also, probabilistic relationship between RMR method and electrical resistivity is deducted for the increase of accuracy. If a suggested method is applied with the conventional method for estimating the rock condition, it will be helpful to estimate RMR values on the field.

keywords
RMR, Electrical resistivity, Probabilistic rock mass classification, RMR, 전기비저항, 확률론적 암반분류

Reference

1.

1. Archie, G.E. (1942), The electrical resistivity log as an aid in determining some reservoir characteristics, Petroleum Transactions, AIME, Vol. 146, pp. 54-62.

2.

2. Barton, N., Lien, R., Lunde, J. (1974), “Engineering classification of rock masses for the design of tunnel support”, Rock Mechanics, Vol. 6, No. 4, pp. 189-236.

3.

3. Bieniawski, Z.T. (1973), “Engineering classification of jointed rock masses”, The Civil Engineering in South Africa, Vol. 15, No. 12, pp. 335-343.

4.

4. Carmichael, R.S. (1989), Practical Handbook of Physical Properties of Rocks and Minerals, CRC Press, USA.

5.

5. Choi, J.H., Jo, C.H., Ryu, D.W., Kim, H., Oh, B.S., Kang, M.G., Suh, B.S. (2003), “A study on the correlation between the result of electrical resistivity survey and the rock mass classification values determined by the tunnel face mapping”, Tunnel and Underground Space, Vol. 13, No. 4, pp. 279 -286.

6.

6. Cragg, D.J., Ingman, J. (1995), “Rock weathering descriptions: current difficulties”, Quarterly Journal of Engineering Geology, Vol. 28, No. 3, pp. 277- 286.

7.

7. Dearman, W.R., Baynes, F.J., Irfan, T.Y. (1978), “Engineering grading of weathered granite”, Engineering Geology, Vol. 12, pp. 345-374.

8.

8. Deere, D.U., Hendron, A.J., Patton, F.D., Cording, E.J. (1966), “Design of surface and near surface construction in rock”, Proceeding of the 8th U.S. Symposium on Rock Mechanics, AIME, Minneapolis, pp. 237-302.

9.

9. Doveton, J.H. (1986), Log analysis of subsurface geology, John Wiley & Son, New York, USA.

10.

10. Guéguen Y., Palciauskas, V. (1994), Introduction to the Physics Rocks, Princeton University Press, New Jersey, USA.

11.

11. Hoek, E., Marinos, P., Benissi, M. (1998), “Applicability of the geological strength index (GSI) classification for very weak and sheared rock masses. The case of the Athens schist formation”, Bulletin of Engineering Geology and the Environment, Vol. 57, No. 2, pp. 515-160.

12.

12. Kwon, H.S., Hwang, S.H., Baek, H.J., Kim, K.S. (2008), “A study on the correlation between electrical resistivity and rock classification”, Geophysics and Geophysical Exploration, Vol. 11, No. 4, pp. 350-360.

13.

13. Lee, K.J., Ha, H.S., Ko, K.B., Kim, J.S. (2009), “Investigation of indicator kriging for evaluating proper rock mass classification based on electrical resistivity and RMR correlation analysis”, Tunnel and Underground Space, Vol. 19, No. 5, pp. 407 -420.

14.

14. Lee, K.H., Seo, H.J., Park, J.H., Ahn, H.Y., Kim, K.S., Lee I.M. (2012), “A study on correlation between electrical resistivity obtained from electrical resistivity logging and rock mass rating in-situ tunnelling site”, Journal of Korean Tunnelling and Underground Space Association, Vol. 14, No. 5, pp. 503-516.

15.

15. Linek, M., Jungmann, M., Berlage, T., Pechnig, R., Clauser, C. (2007), “Rock classification based on resistivity patterns in electrical borehole wall images”, Journal of Geophysics and Engineering, Vol. 4, No. 2, pp. 171-183.

16.

16. Reitz, J.R., Milford, F.J., Christy, R.W. (1997), Foundation of electromagnetic theory, Addison Wiley, USA.

17.

17. Ryu, H.H., Cho, G.C., Sim, Y.J., Lee, I.M. (2008), “Detection of Anomalies in Particulate Materials Using Electrical Resistivity Survey – Enhanced Algorithm”, Modern Physics Letters B, Vol. 22, No. 11, pp. 1093-1098.

18.

18. Palmstrom, A. (1996), “Characterizing rock masses by the RMi for use in practical rock engineering”, Tunnelling and Underground Space Technology, Vol. 11, No. 2, pp. 175-188.

19.

19. Price, D.G. (1995), “Weathering and weathering processes”, Quarterly Journal of Engineering Geology, Vol. 28, No. 3, pp. 243-252.

20.

20. Tugrul, A. (2004), “The effect of weathering on pore geometry and compressive strength of selected rock types from Turkey”, Engineering geology, Vol. 75, No. 3-4, pp. 215-227.

21.

21. You, K.H., Jie, H.K., Seo, K.W., Kim, S.J., You, D.W. (2012), “A study on the correlation between the rock mass permeability before and after grouting & injection volume and the parameters of Qsystem in a jointed rock mass tunnel”, Journal of Korean Tunnelling and Underground Space Association, Vol. 14, No. 6, pp. 617-635.

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