• Title/Summary/Keyword: 2-Ring Beam 모델

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Prediction of TBM tunnel segment lining forces using ANN technique (인공신경망 기반의 TBM 터널 세그먼트 라이닝 부재력 평가)

  • Yoo, Chung-Sik;Choi, Jung-Hyuk
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.16 no.1
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    • pp.13-24
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    • 2014
  • This paper presents development of artificial neural network(ANN) based prediction method for section forces of TBM tunnel segment lining in an effort to develop an automatized design technique. A series of design cases were first developed and subsequently analyzed using the two-ring beam finite element model. The results were then used to form a database for use as training and validation data sets for ANN development. Using the database, optimized ANNs were developed that can readily be used to predict maximum sectional forces and their distributions. It is shown that the compute maximum section forces and their distributions by the developed ANNs are almost identical to the computed by the two-ring beam finite element model, implying that the developed ANNs can be used as design tools which expedite routine design calculation process. The results of this study indicate that the neural network model can be effectively used as a reliable and simple predictive tool for the prediction of segment sectional forces for design.

TBM segment lining section design of hypothetical subsea tunnels (가상 해저터널 TBM공법 적용 시 세그먼트 단면설계)

  • Choi, Jung-Hyuk;Yoo, Chung-Sik
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.17 no.1
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    • pp.49-63
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    • 2015
  • In this paper, the results of evaluation on the member forces in the virtual subsea tunnel lining segments and optimal thickness of the segment with changes in depth were presented. To evaluate member forces on the hypothetical subsea tunnelling cases were developed and the segmental lining member forces were calculated by performing structural analysis using the 2-Ring Beam model. Through a preliminary reinforcement design review of the cross-section using calculated member force, optimal reinforcement design was selected. Based on the results, the variations of member forces with construction conditions such as the cover depth and the hydraulic pressure are presented. In addition, optimum segment lining designs were developed for various tunnelling conditions.