All Issue

2018 Vol.17, Issue 4 Preview Page

Research Article

Development of Knowledge-based Study on Optimized NATM Lining Design System

지식기반형 NATM 라이닝 최적 설계 시스템 개발

Ju-Sang Song1
,
Chung-sik Yoo2*
송 주상1
,
유 충식2*
1Member, Former Graduate Student, School of Civil and Environmental Engineering, Sungkyunkwan Univ. Natural Sciences Campus, Cheoncheon-dong, Jangan-gu, Suwan-si, Gyeonggi-do 16419, Korea
2Member, Professor, School of Civil and Environmental Engineering, Sungkyunkwan Univ. Natural Sciences Campus, Cheoncheon-dong, Jangan-gu, Suwan-si, Gyeonggi-do 16419, Korea
* Corresponding Author
30 December 2018. pp. 251-265
PDF XML Citation
Abstract

This paper concerns the development of an optimized NATM secondary 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 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 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 lining dimension easily without any further FEM calculations.

Keywords
NATM Tunnel
FEM
ANN
Subsea tunnel

본 연구에서는 해저 터널의 특수성을 고려한 NATM 2차 라이닝의 최적 설계 시스템을 개발하였다. 해저 터널은 일반적으로 일정 수압 하의 토사나 암반 등으로 구성된 해저 지반 내에 시공된다. 본 설계 시스템은 특정 해저 터널 단면에서의 지반 조건, 시공 조건 및 터널 조건을 고려하여 인공신경망 기반의 라이닝 부재력 예측 시스템을 구축하고, 시공성이 확보된 단면 DB를 구축하여 해저터널에서 최적 단면 설계가 가능하도록 구성하였다. 단면 검토 및 설계에 사용되는 라이닝 부재력 예측은 유한요소해석을 토대로 구축한 인공신경망을 통해 일반화한 후 별도의 추가 해석이 필요없이 유사 단면의 해저 터널 설계에 적용이 가능하도록 하였다.

References
1
European Committee for Standardization, (2004), “Eurocode 2: Design of concrete structures - Part 1-1: General rules and rules for buildings”.
2
Terzaghi K. (1943), “Theoretical soil mechanics”, J. Wiley and Sons, New York.
10.1002/9780470172766
3
Yoo, C.S., Jeon, Y.W., Kim, J.H., Park, Y.J. and 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.
4
Yoo, C. S., Kim, S. B. and 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.
5
Yang, Y. and 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.
10.1007/BF01045717
6
Yang, Y. and 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.
10.1016/S0148-9062(97)00339-2
7
Beale, M. H., Hagan, M. T. and Demuth, H. B. (2013), Neural Network Toolbox User's Guide, Mathwork Inc.
8
Garson, G. D. (1991), “Interpreting neural-network connection weights”, AI Expert, Vol.6, No.7, pp.47-51.
9
Jeong, Y. J. and 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.
10.9711/KTAJ.2014.16.3.321
10
Bae, G. J., Shin, H. S., Kim, D. G., Chang, S. H., Lim, J. J., Lee, G. P. and Choi, S. W. (2005), “Development of technologies for minimizing and preventing the disaster on tunnel construction 2”, KICT, pp.73-87.
11
Jiao, Y. and 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.
10.1016/0148-9062(95)00038-I
12
Kim, C. Y., Bae, G. J., Hong, S. W., Park, C. H., Moon, H. K. and Shin, H. S. (2001), “Neural network based prediction of ground surface settlements due to tunneling”, Computers and Geotechnics, Vol.28, pp.517-547.
10.1016/S0266-352X(01)00011-8
13
Yoo, C. S. and Kim, S. B. (2007), “A Sensitivity Analysis on the Influencing Factors Affecting Ground Surface Settlements Caused by Tunnelling”, Korean Geotechnical Society Autumn Conference 2007.
14
Lim, S. B. (1997), “Evaluation of dynamic damage adjacent to a blasthole in tunnel excavations”, Kyunghee Univ. PhD dissertation.
Information
  • Publisher :Korean Geosythetics Society
  • Publisher(Ko) :한국지반신소재학회
  • Journal Title :Journal of the Korean Geosynthetics Society
  • Journal Title(Ko) :한국지반신소재학회 논문집
  • Volume : 17
  • No :4
  • Pages :251-265
  • Received Date : 2018-10-30
  • Revised Date : 2018-12-13
  • Accepted Date : 2018-12-18
  • DOI :https://doi.org/10.12814/jkgss.2018.17.4.251
Journal Informaiton Journal of the Korean Geosynthetics Society Journal of the Korean Geosynthetics Society
  • NRF
  • KOFST
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close