IT 기반의 터널 최적 설계를 위한 시스템 개발
Development of IT-based tunnel design system
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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 determination of support patterns and stability analysis of selected support patterns. A number of sub-modules for determination of support patterns and stability assessment were developed and implemented to the system. It is shown that the ANNs trained with the results of 2D and 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.
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 determination of support patterns and stability analysis of selected support patterns. A number of sub-modules for determination of support patterns and stability assessment were developed and implemented to the system. It is shown that the ANNs trained with the results of 2D and 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.
참고문헌 (8)
- 유충식, "GIS-ANN 기반의 도심지 터널 설계", 시공 위험도 평가, 2006, pp.26(1C), 63~72[DOI]
- 유충식, "정보기술(IT)의 터널설계 분야에의 적용사례", 한국터널공학회 정기학술발표회 논문집, pp.105~116 (2005)
- 유충식, "인공신경망을 이용한 지보패턴 예측 시스템 개발 연구", 대한토목학회 정기학술대회, pp.5528~5531 (2005)
- Cai, J.G., "Computerization of rock engineering systems using neural networkds with an expert system", Rock Mech. Rock Engng, 31(3), pp.135~152 (1998)
- Hoek, E, "Estimating mohr-coulomb friction and cohesion values from the hoek-brown failure criterion", Intnl. J. Rock Mech. & Mining Sci. & Geomechanics Abstracts, 12(3), pp.227~229 (1990)
- Rangel, J.L., "Tunnel stability analysis during construction using a neuro-fuzzy system", Int. J. Numer. Anal. Metch. Geomech, 29(15), pp.1433~1456 (2005)
- Ren, G., Smith, "Underground excavation shape optimization using an evolutionary procedure", Computers and Geotechnics, 32(2), pp.122~132 (2005)
- Yoo, C, "Tunneling performance prediction using an integrated GIS and neural network", Computers and Geotechnics, 34(1), pp.19~30 (2007)