案例類比法應用於台灣區隧道支撐工設計建議

Applications of Case Based Reasoning Algorithm to Determine the Preliminary Tunnel Support Works

俞旗文(Chi-Wen Yu)

《地工技術》 91期 (2002/06) Pp. 21-30

https://doi.org/10.30140/SG.200206.0003

摘要

本研究就蒐集所得約120個台灣地區隧道工程案例，建立案例資料庫。透過隧道支撐工之以往設計案例經驗，以案例類比分析之方法，研擬適用於台灣全區硬岩至中硬岩類之隧道支撐建議。案例類比分析之方法係採用統計方法結合案例推理法或類神經網路法等人工智能手段，針對案例資料庫有關隧道支撐設計資料部份進行案例分析，進而研擬具一般性之隧道支撐建議方法。類比輸入主要條件包括岩種分類、斷面跨度、岩盤狀況分級等三項參數，電腦類比分析輸出隧道支撐工之建議輸出結果項目包括開挖方法、輪進長度、噴凝土強度、噴凝土厚度、鋼支保尺寸、鋼支保間距、岩栓長度、岩栓縱距、岩栓橫距、襯砌強度、襯砌厚度等十一項。

關鍵字

案例推理法 ； 類神經網路法 ； 隧道支撐設計

並列摘要

In this study, numerous tunnel design case histories in Taiwan during the past 20 years were collected and utilized in order to establish a tunnel support design database. The database is further being analyzed by algorithms of artificial intelligence technologies such as case based reasoning (CBR) as well as artificial neural network (ANN). The results show that, with carefully selected tunnel case histories and adequate data mining method, rational designs of tunnel support works can be obtained by finding the most similar case or cases in the database. It this paper, only the database based on past experiences in the category of those tunnel excavated in the jointed rock mass have been studied.

並列關鍵字

case based reasoning ； artificial neural network ； tunnel support design