Development of optimized TBM segmental lining design system

This paper concerns the development of an optimized TBM segmental lining design system for a subsea tunnel. The subsea tunnel is normally laid down under the sea water and submarine ground which consists of soil or rock. The design system is the series of process which can predict segmental lining member forces by ANN (artificial neural network system), analyze suitable section for the designated ground, construction and tunnel conditions. Finally, this lining design system aims to be connected with a BIM system for designing the subsea tunnel automatically. The lining member forces are predicted based on the ANN which was calculated by a FEM (finite element analysis) and it helps designers determine its segmental lining dimension easily without any further FE calculations.

keywords: TBM 터널, 세그먼트 라이닝 설계, 유한요소해석, 2링빔-스프링 모델, 인공신경망, TBM Tunnel, Segmental lining design, FEM, 2 Ring Beam-Spring Model, ANN

Reference

1. Bae, G.J., Shin, H.S., Kim, D.G., Chang, S.H., Lim, J.J., Lee, G.P., Choi, S.W. (2005), “Development of technologies for minimizing and preventing the disaster on tunnel construction 2”, KICT, pp. 73-87.

2. Beale, M.H., Hagan, M.T., Demuth, H.B. (2013), Neural Network Toolbox User's Guide, Mathwork Inc.

3. Choi, J.H., Yoo, C.S. (2015), “TBM segment lining section design of hypothetical subsea tunnels”, Journal of Korean Tunnelling and Underground Space Association, Vol. 17, No. 1, pp. 49-63.

4. Garson, G.D. (1991), “Interpreting neural-network connection weights”, AI Expert, Vol. 6, No. 7, pp. 47-51.

5. International Tunnelling Association Working Group No. 2. (2000), “Guidelines for the design of shield tunnel lining”, Tunnelling and Underground Space Technology, Vol. 15, No. 3, pp. 303-331.

6. Jeong, Y.J., Yoo, C.S. (2014), “Development and implementation of a knowledge based TBM tunnel segment lining design program”, Journal of Korean Tunnelling and Underground Space Association, Vol. 16, No. 3, pp. 321-339.

7. Jiao, Y., Hudson, J.A. (1995), “The Fully-Coupled Model for Rock Engineering System”, Rock Mechanics and Mining Sciences & Geomechanics, Vol. 32, Issue 5, pp. 491-512.

8. KCI (2012), Korean Design Standards on Structural Concrete 2012, Korea Concrete Institute.

9. Kim, C.Y., Bae, G.J., Hong, S.W., Park, C.H., Moon, H.K., Shin, H.S. (2001), “Neural network based prediction of ground surface settlements due to tunneling”, Computers and Geotechnics, Vol. 28, pp. 517-547.

10.

10. KTA (2008), “3rd Mechanized tunnel construction tunnel design service technical conference”, Korean Tunnelling Association, pp. 3-458.

11.

11. Lee, Y.J., Kim, K.L., Jeong, K.W., Hong, E.J., Kim, S.H., Jun, D.C. (2015), “A study on the design of shield tunnel lining in high water pressure condition”, Journal of Korean Tunnelling and Underground Space Association, Vol. 17, No. 3, pp. 227-236.

12.

12. Matlab user manual version R2012b (2012), MathWorks, INC.

13.

13. Midas users manual version 2012+ (2012), MIDAS IT Co.,Ltd.

14.

14. Yang, Y., Zhang, Q. (1997), “A hierarchical analysis for rock engineering using artificial neural networks”, Rock Mechanics and Rock Engineering, Vol. 30, Issue 4, pp. 207-222.

15.

15. Yang, Y., Zhang, Q. (1998), “The application of neural networks to rock engineering system (RES)”, Rock Mechanics and Mining Sciences, Vol. 35, Issue 6, pp. 727-745.

16.

16. Yoo, C.S., Jeon, H.M. (2012), “A comparative study on methods for shield tunnel segment lining sectional forces”, Journal of Korean Tunnelling and Underground Space Association, Vol. 14, No. 3, pp. 159-181.

17.

17. Yoo, C.S., Jeon, Y.W., Kim, J.H., Park, Y.J., Yoo, J.H. (2004), “Development and implementation of a GIS-based tunnelling risk management system”, Journal of Korean Geotechnical Society, Vol. 20, No. 1, pp. 49-59.

18.

18. Yoo, C.S., Kim, J.M., Kim, S.B., Jung, H.Y. (2006), “Tunnel design/construction risk assessment based on GIS/ANN”, Journal of Korean Society of Civil Engineers, Vol. 26, No. 1C, pp. 63-72.

19.

19. Yoo, C.S., Kim, S.B. (2007), “A sensitivity analysis on the influencing factors affecting ground surface settlements caused by tunnelling”, Korean Geotechnical Society Autumn Conference 2007.

20.

20. Yoo, C.S., Kim, S.B., Yoo, K.H. (2008), “Development of IT-based tunnel design system”, Journal of Korean Tunnelling and Underground Space Association, Vol. 10, No. 2, pp. 153-166.

바로가기메뉴

Article Contents

Vol.18 No.1

Development of optimized TBM segmental lining design system

Abstract

Reference

(사)한국터널지하공간학회