大直径泥水盾构掘进参数智能预测  

Intelligent Prediction of Tunneling Parameters for Large Diameter Slurry Shield

作　　者：李健 陶博文 蔡琦 姚建强 王赶 LI Jian;TAO Bo-wen;CAI Qi;YAO Jian-qiang;WANG Gan(Research Institute of Underground Space,CCCC Tunnel Engineering Co.,Ltd.,Beijing 100102,China;School of Civil Engineering,Beijing Jiaotong University,Beijing 100044,China)

机构地区：[1]中交隧道工程局有限公司地下空间科学研究院,北京100102 [2]北京交通大学土木建筑工程学院,北京100044

出　　处：《长江科学院院报》2025年第3期148-155,共8页Journal of Changjiang River Scientific Research Institute

基　　金：中交一公局集团有限公司品牌工程科技研发项目(PPZX-2022-14);国家自然科学基金高铁联合基金重点支持项目(U1934210)。

摘　　要：依托北京市东六环改造项目中京哈高速—潞苑北大街标段大直径泥水盾构隧道工程,结合地应力提取与掘进断面地层信息编码的地质数据处理方法,建立考虑地质条件的盾构参数智能预测模型,提出包含数据获取、数据预处理、数据分解、智能预测模型构建、模型训练与测试、结果评价与分析的一套智能预测分析方法,并对依托工程的盾构掘进参数进行了预测分析。分析结果表明在考虑地质条件后,盾构推力与刀盘扭矩的预测精度分别提高了38.53%与44.86%,保证了后续盾构掘进的施工安全。An intelligent prediction model for shield tunneling parameters accounting for geological conditions is presented by employing a geological data processing technique which integrates in-situ stress extraction and tunneling section stratum information coding.The method encompasses data acquisition,preprocessing and decomposition,and model construction,training and testing,as well as result evaluation and analysis.The model is applied to predict the shield parameters for the large-diameter slurry shield tunnel project of the Luyuan North Street section on the Beijing-Harbin Expressway within the Beijing East Sixth Ring Road reconstruction project.Findings reveal that accounting for geological conditions enhances the prediction accuracy of shield thrust and cutter-head torque by 38.53% and 44.86%,respectively.This improvement secures the construction safety of subsequent shield tunneling operations.The research outcomes can serve as a reference for future similar projects.

关 键 词：盾构隧道 掘进参数 智能预测 地质编码 盾构推力 刀盘扭矩 

分 类 号：U455[建筑科学—桥梁与隧道工程]