市政技术2025，Vol.43Issue(12)：46-54,64,10.DOI:10.19922/j.1009-7767.2025.12.046
基于地质参数与响应参数的TBM穿越断层施工智能预测模型
Intelligent Prediction Model of TBM Crossing the Fault Based on Geological Parameters and Response Parameters
罗辉友1
作者信息
- 1. 中铁十八局集团隧道工程有限公司,重庆 401120
- 折叠
摘要
Abstract
During the tunnel construction in fault zones,the performance prediction of tunnel boring machines(TBM)is a hot issue in the fields of engineering geology and tunnel engineering.An intelligent prediction model based on the integration of geological parameters and TBM response parameters is proposed,aiming to improve the prediction accuracy of TBM tunneling performance in fault zones in this study.Taking the actual data of a water diversion tun-nel in southern China as the research object,the prediction models considering only geological parameters and those integrating geological parameters and TBM operation parameters are established respectively.Three intelligent pre-diction models,namely artificial neural network(ANN),random forest,and ANN-fuzzy hybrid model,are used for comparative analysis.The research results show that the prediction effect is limited when only geological parameters are considered.However,after introducing TBM response parameters such as rotational speed,torque,and thrust,the performance of the prediction model is significantly improved.Among them,the ANN-fuzzy hybrid model per-forms the best,with a coefficient of determination(R2)reaching 0.850 9 and the smallest error.The study proves that the prediction model integrating geological parameters and TBM response parameters can effectively improve the ac-curacy and stability of TBM tunneling performance prediction,which has important guiding significance for intelli-gent tunnel construction under complex geological conditions with faults.关键词
TBM/隧道掘进/地质断层/智能算法Key words
tunnel boring machines(TBM)/tunnel excavation/geological fault/intelligent algorithm分类
交通工程引用本文复制引用
罗辉友..基于地质参数与响应参数的TBM穿越断层施工智能预测模型[J].市政技术,2025,43(12):46-54,64,10.
