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(사)한국터널지하공간학회

ISSN : 2233-8292

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Vol.18 No.2
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A knowledge-based study on design of NATM lining for subsea tunnels

(사)한국터널지하공간학회 / (사)한국터널지하공간학회, (P)2233-8292; (E)2287-4747
2016, v.18 no.2, pp.195-211
https://doi.org/10.9711/KTAJ.2016.18.2.195



& (2016). A knowledge-based study on design of NATM lining for subsea tunnels. (사)한국터널지하공간학회, 18(2), 195-211, https://doi.org/10.9711/KTAJ.2016.18.2.195
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Abstract

This paper concerns a study of a knowledge-based NATM tunnel lining design for subsea tunnels. Concept for tunnel automation designing system, the development of Artificial Neural Network based technology of the tunnel design system, the learning process and verification of the technology forecasting member forces were described. The design system is the series of process which can predict segmental lining member forces by ANN(artificial neural network system), analyze suitable section for the designated ground, construction and tunnel conditions using a FEM(finite element analysis). The lining member forces are predicted based on the ANN quickly and it helps designers determine its segmental lining dimension easily.

keywords
NATM lining, ANN, Subsea tunnels, NATM 라이닝, 인공신경망, 해저터널

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