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A probabilistic assessment of ground condition prediction ahead of TBM tunnels combining each geophysical prediction method
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 Title & Authors
A probabilistic assessment of ground condition prediction ahead of TBM tunnels combining each geophysical prediction method
Lee, Kang-Hyun; Seo, Hyung-Joon; Park, Jeongjun; Park, Jinho; Lee, In-Mo;
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 Abstract
It is usually not an easy task to counter-measure on time and appropriately when confronting with troubles in mechanized tunnelling job-sites because of the limitation of available spaces to perform those actions with the existence of disk cutter, cutter head, chamber and other various apparatus in Tunnel Boring Machine (TBM). So, it is important to predict the ground condition ahead of a tunnel face during tunnel excavation. Efforts have been made to utilize geophysical methods such as elastic wave survey, electromagnetic wave survey, electrical resistivity survey, etc for predicting the ground condition ahead of the TBM tunnel face. Each prediction method among these geophysical methods has its own advantage and disadvantage. Therefore, it might be needed to apply several geophysical methods rather than just one to predict the ground condition ahead of the tunnel face in the complex and/or mixed grounds since those methods will compensate among others. The problem is that each prediction method will give us different answer on the predicted ground condition; how to combine different solutions into a most reasonable and representative predicted value might be important. Therefore, in this study, we proposed a methodology how to systematically combine each prediction method utilizing probabilistic analysis as well as analytic hierarchy process. The proposed methods is applied to a virtual job site to confirm the applicability of the model to predict the ground condition ahead of the tunnel face in the mechanized tunnelling.
 Keywords
Probabilistic analysis;Analytic hierarchy process;Tunnel Boring Machine(TBM);Prediction method of ground condition;Tunnel face;
 Language
Korean
 Cited by
 References
1.
Ahn, H.Y., Jeong, J.H., Cho, I.K., Kim, J.H., Bae, G.J. (2008), "Application of resistivity monitoring with tunnel excavation area", Journal of Korean Tunnelling and Underground Space Association, Vol. 10, No. 4, pp. 405-420.

2.
Ang, A.H-S., Tang, W.H. (1975), "Probability concepts in engineering planning and design", John & Wiley Sons, New York, US.

3.
Barlow, R.E. (1984), "The bayesian approach in risk analysis", Probabilistic Engineering Mechanics, Vol. 1, Issue. 2, pp. 113-115.

4.
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", Journal of Korean Society for Rock Mechanics, Vol. 13, No. 4, pp. 279-286.

5.
Dowden, P.B., Robinson, R.A. (2001), "Coping with boulders in soft ground TBM tunneling", Rapid Excavation and Tunneling Conference, Littleton, US, pp. 961-977.

6.
Kahraman, S., Balci, C., Yazici, S, Bilgin, N. (2000), "Prediction of the penetration rate of rotary blast hole drills using a new drillability index", International Journal of Rock Mechanics and Mining Science, Vol. 37, Issue. 5, pp. 729-743. crossref(new window)

7.
Kaus, A., Boening, W. (2008), "BEAM-geoelectrical ahead monitoring for TBM-drives", Geomechanics and Tunnelling, Vol. 1, No. 5, pp. 442-449. crossref(new window)

8.
Kim, K.S., Kim, J.H., Jeong, L.C., Lee, I.M., Cho, G.C. (2015), "Development for prediction system of TBM tunnel face ahead using probe drilling equipment and drilled hole imaging equipment", Journal of Korean Tunnelling and Underground Space Association, Vol. 17, No. 3, pp. 393-401. crossref(new window)

9.
Kim, N.Y., Kim, S.H., Chung, H.S. (2001), "Correlation between drilling parameter and tunnel support pattern using jumbo drill", Journal of Korean Tunnelling and Underground Space Association, Vol. 3, No. 14, pp. 17-24.

10.
Kneib, G., Kasselm, A., Lorenz K. (2000), "Automatic seismic prediction ahead of the tunnel boring machine", First Break, Vol. 18, Issue. 7, pp. 295-302. crossref(new window)

11.
Kwon, H.S., Synn, J.H., Hwang, S.H., Baek, H.J., Kim, K.S., Kim, J.S. (2001), "A study on the correlation of resistivity and rock quality", Proceedings of Korean Geotechnical Society, Bundang, pp. 81-88.

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

13.
Lee, K.H., Seo, H.J., Park, J.H., Ahn, H.Y., Kim, K.S., Lee, I.M., (2012), "A study on correlation between electircal 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. crossref(new window)

14.
Lee, K.H. (2014), "Predictions of ground conditions ahead of tunnel face applicable to TBM", Ph.D. Dissertation, Korea University.

15.
Moon, S., Kwon, K. (2007), "Modification of activity duration for construction scheduling using triangular distribution", Proceedings of Korean Society of Civil Engineers, Daegu, pp. 3282-3285.

16.
O, S.D., Kim, Y.S. (2000), "A study on the cost risk analysis model using the triangular distribution", Proceedings of Architectural Institute of Korea, Vol. 20, No. 2, Gwangju, pp. 675-678.

17.
Richter, T. (2011), "Innovative geophysical investigation technology in karstified and fractured rock formations", 1st Scientific Congress on Tunnels and Underground Structures in South-East Europe, Dubrovnik, Croatia, pp. 20-21.

18.
Ryu, H.H. (2010), "Development of a tunnel electrical resistivity prospecting system and its application", Ph.D. Dissertation, Korea Advanced Institute of Science and Technology.

19.
Saaty, T.L. (1980), "The analytic hierarchy process", McGraw-Hill, New York, US.

20.
Teale, R. (1965), "The concept of specific energy in rock drilling", International Journal of Rock Mechanics and Mining Science, Vol. 2, Issue. 1, pp. 57-73. crossref(new window)

21.
Wu, T.H., Lee, I.M., Potter, J.C., Kjekstad, O. (1987), "Uncertainties in evaluation of strength of marine sand", Journal of Geotechnical Engineering, Vol. 113, No. 7, pp. 719-738. crossref(new window)

22.
You, K.H., Lee, S.H., Choo, S.Y., Jue, K.S. (2004), "A study on the estimation of rock mass classes using the information off a tunnel center line", Journal of Korean Tunnelling and Underground Space Association, Vol. 6, No. 2, pp. 101-111.