多元回归法在某水电站TBM施工隧洞围岩质量预测中的应用

Application of Multiple Regression Method to the Prediction of Surrounding Rockmass Quality for TBM-Excavated Tunnels of Hydropower Station

针对西南某水电站引水隧洞TBM施工中的围岩分类问题,进行大量的现场调查、数据采集和分析验证,在基于TBM掘进参数研究的基础上引入岩石强度的地质因素,经过多元逐步回归得到了回归方程,并将其应用在各围岩类别的地质分值上进行验证,得到的预测分值与现场地质分值吻合率较高,以此预测围岩质量。研究成果为以后TBM施工条件下隧洞围岩分类的进一步研究提供了有价值的参考。

To study the rock classification for the diversion tunnel excavated by Tunnel Boring Machine （TBM）, field investigation, data collection and analysis have been done in a hydropower station in southwest China. A regression equation is obtained by multiple regression on the basis of TBM performance parameters and rock strength. The equation is verified by being applied to the geological prediction of different rock classifications. The prediction scores are highly consistent with the field scores. The paper provides a valuable reference for further research on surrounding rock classification of TBM-excavated tunnels.