한국터널공학회:학술대회논문집

Korean Tunnelling and Underground Space Association (한국터널지하공간학회)
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Application of Information Technology in Tunnel Design - A case study

정보기술(IT)의 터널 설계 분야에의 적용사례

  • Yoo Chung Sik (Dept. of Civil and Envir. Engineering, Sungkyunkwan Univ.) ;
  • Kim Joo-Mi (Dept. of Civil and Envir, Engineering, Sungkhunkwan Univ.) ;
  • Kim Jin Ha (ESCO Engineers & Consultant Co.,Ltd)
  • 유충식 (성균관대학교 공과대학 토목환경공학과) ;
  • 김주미 (성균관대학교 공과대학 토목환경공학과) ;
  • 김진하 ((주)에스코 컨설턴트)
  • Published : 2005.04.01
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Abstract

This study investigated the applicability of the Artificial Neural Network(ANN) technique for prediction of tunnel behavior. For training data collection, a series of finite element analyses were conducted for actual tunnel project site. Using the data, optimimzed ANNs were developed through a sensitivity study on internal parameters. The developed ANNs can make tunneling related predictions such as tunnel crown settlement, shotcrete lining stress, ground surface settlement, and groundwater inflow rate. The results indicated that the developed ANNs can be used as an effective and efficient tool for tunnelling related prediction in practical tunneling situations.

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