Technical Note
Abstract
References
Information
Bruland, A., 1999, Hard rock tunnel boring advance rate and cutter wear, Trondheim: Norwegian Institute of Technology.
Hong, J.P. and Ko, T.Y., 2023, Application of Multiple Linear Regression Analysis and Tree-Based Machine Learning Techniques for Cutter Life Index (CLI) Prediction, Tunnel and Underground Space, 33(6), 594-609.
Kang, T.H., Choi, S.W., Lee, C., and Chang, S.H., 2022, A study on the prediction of disc cutter wear using TBM data and machine learning algorithm, Tunnel and Underground Space, 32(6), 502-517.
- Publisher :Korean Society for Rock Mechanics and Rock Engineering
- Publisher(Ko) :한국암반공학회
- Journal Title :Tunnel and Underground Space
- Journal Title(Ko) :터널과 지하공간
- Volume : 34
- No :3
- Pages :185-195
- Received Date : 2024-05-27
- Revised Date : 2024-06-10
- Accepted Date : 2024-06-11
- DOI :https://doi.org/10.7474/TUS.2024.34.3.185