Induction of tunnel reinforcement selection rules by using decision tree technique

초록

Due to the uncertainty involved in ground condition and environment, tunnel reinforcement has been applied with tunnel supports to prevent local collapse at the tunnel face. The selection of tunnel reinforcement, however, primarily relies on the empirical judgement. In this study, we use data mining technique to induce tunnel reinforcement selection rules depending upon many variables. The results show that the parameters affecting the selection of tunnel reinforcement at urban and mountainous zones differs

키워드

tunnel reinforcement; data mining; decision tree
제목
Induction of tunnel reinforcement selection rules by using decision tree technique
저자
사공명; 이준석; 천병식; 최중근
DOI
10.1016/j.tust.2005.12.200
발행일
2006-05
저널명
Tunnelling and Underground Space Technology
권
21
호
3-4
페이지
389