Browse > Article
http://dx.doi.org/10.9711/KTAJ.2014.16.3.321

Development and implementation of a knowledge based TBM tunnel segment lining design program  

Jeong, Yong-Jun (Dept. of Global Construction Engineering, Sungkyunkwan Univ.)
Yoo, Chung-Sik (Dept. of Civil Engineering, Sungkyunkwan Univ.)
Publication Information
Journal of Korean Tunnelling and Underground Space Association / v.16, no.3, 2014 , pp. 321-339 More about this Journal
Abstract
This paper concerns the development of a knowledge-based tunnel design system within the framework of artifical neural networks(ANNs). The system is aimed at expediting a routine tunnel design works such as computation of segment lining body forces and stability analysis of selected cross section. A number of sub-modules for computation of segment lining body forces and stability analysis were developed and implemented to the system. It is shown that the ANNs trained with the results of 3D numerical analyses can be generalized with a reasonable accuracy, and that the ANN based tunnel design concept is a robust tool for tunnel design optimization. The details of the system architecture and the ANNs development are discussed in this paper.
Keywords
TBM Tunnel; Segment lining; Finite element analysis; 2-Ring Beam-Spring Model; Artificial neural network;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 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.   DOI   ScienceOn
2 Muirwood, A.M. (1975), "The circular tunnel in elastic ground", Geotechnique, Vol. 25, No. 1, pp. 115-127.   DOI   ScienceOn
3 Mark Hudson Beale, Martic T. Hagan, Howard B. Demuth (2013), Neural Network Toolbox User's Guide, Mathwork Inc.
4 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.   DOI   ScienceOn
5 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.   DOI   ScienceOn
6 Chang, S.H., Lee, G.P., Choi, S.W., Bae, G.J. (2011), "State of the art of segment lining in shield tunnel and statistical analysis of its key design parameters", Journal of Korean Society of Rock Mechanics, Vol. 6, No. 6, pp. 427-438.   과학기술학회마을
7 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.   과학기술학회마을
8 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.   과학기술학회마을   DOI   ScienceOn
9 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.   과학기술학회마을
10 Japan society of civil engineers (2007), Standard specifications for tunneling-2006 : Shield tunnels, Japan society of civil engineers.
11 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.   DOI   ScienceOn
12 Duddeck, H., Erdmann, J. (1985), "Structure design for tunnels", Tunnel82, Proceedings of the 3rd international symposium, Brighton, 7-11 June 1982, pp. 83-91.
13 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.   DOI   ScienceOn
14 Bae, G.J., Shin, H.S., Kim, D.G., Chang, S.H., Lim, J.J., Lee, G.P., Choi, S.W., KICT (2005), "Development of technologies for minimizing and preventing the disaster on tunnel construction 2", KICT, pp. 73-87.
15 KTA (2008), "3rd Mechanized tunnel construction tunnel design service technical conference", KTA, pp. 3-7, 393-399, 457-458.
16 Yoo, C.S., Kim, J.M., Kim, S.B., Jung, H.Y. (2006), "Tunnel design/construction risk assessment based on GIS-ANN", Journal of the Korean Society of Civil Engineers, Vol. 26, No. 1C, pp. 63-72.