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

지식기반형 TBM 터널 세그먼트 라이닝 설계 프로그램의 개발 및 적용

  • 정용준 (성균관대학교 글로벌건설엔지니어링학과) ;
  • 유충식 (성균관대학교 건설환경시스템공학과)
  • Received : 2014.05.10
  • Accepted : 2014.05.27
  • Published : 2014.05.31

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.

Acknowledgement

Supported by : 한국건설교통기술평가원

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