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)
- Published : 2005.04.01
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.