Journal of the Korean Geosynthetics Society (한국지반신소재학회논문집)

Korean Geosynthetics Society (한국지반신소재학회)
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Development of Knowledge-based Study on Optimized NATM Lining Design System

지식기반형 NATM 라이닝 최적 설계 시스템 개발

  • Song, Ju-Sang (School of Civil and Environmental Engineering, Sungkyunkwan Univ. Natural Sciences Campus) ;
  • Yoo, Chung-sik (School of Civil and Environmental Engineering, Sungkyunkwan Univ. Natural Sciences Campus)
  • Received : 2018.10.30
  • Accepted : 2018.12.18
  • Published : 2018.12.30
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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.

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.

Keywords

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Fig. 1. Load combination of Natm lining

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Fig. 2. Flow of NATM secondary lining design

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Fig. 3. Flow of structural analysis modeling

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Fig. 4. Input Module

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Fig. 5. Reinforcement Section Module

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Fig. 6. Section Calculation Module

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Fig. 7. Output Module

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Fig. 8. Comparison of the flow of NATM secondary lining design after applying the ANN

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Fig. 9. Flow of building an ANN

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Fig. 10. Cross-sectional drawing of NATM lining (unit : mm)

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Fig. 11. FEM anlayzing flow for NATM secondary lining

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Fig. 12. Comparison of computed versus predicted values for training

Table 2. Application of Temperature load

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Table 3. Role of reinforced concrete secondary lining

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Table 1. Theory of coefficient of subgrade reaction

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Table 4. Consideration of the secondary lining design

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Table 5. The range of input value considered for ANN

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Table 6. Input Value for FEM analysis

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Table 7. Load combination factor

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Table 8. Input and Output parameters

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Table 9. Maximum and Minimum sectional forces by ANN

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Table 10. Result of building an ANN

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Table 11. Material parameters for subse tunnel

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Table 12. Result of using developed program

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