摘要
盾构施工过程中由于盾壳摩擦等诸多因素,导致施加在工作面上的有效推力往往小于液压油缸实际提供的总推力,而对于有效推力的准确评估能够有效提升盾构施工的稳定性及经济性,但相关的研究成果依旧匮乏。为了更准确地预测硬岩地层中盾构施工时工作面所受有效推力以及刀盘滚刀切削速率,基于Ylvie模型考虑地层特性建立了矩阵形式的分析框架以及预测模型。在盾壳摩擦损耗预测中将Ylvie模型与Heikal模型进行了对比,在切削速率预测中与Gehring和CSM模型进行了对比分析,验证了所构建的预测模型的准确性。分析结果表明,研究区间的盾构施工过程中,盾壳摩擦对总推力的损耗达到41%。
Due to many factors such as shield friction during shield construction,the effective thrust applied to the working face is often less than the total thrust actually provided by the hydraulic cylinder.Accurate evaluation of the effective thrust can effectively improve the stability and economy of shield construction,but relevant research results are still scarce.In order to more accurately predict the effective thrust on the working face and the penetration rate of the cutterhead during shield construction in hard rock formations,a matrix analysis framework and prediction model were established based on the Ylvie model considering the formation characteristics.The Ylvie model was compared with the Heikal model in the prediction of shield friction loss,and compared with the Gehring and CSM models in the prediction of penetration rate,verifying the accuracy of the prediction model constructed in this paper.The analysis results show that during the shield construction in the study area,the loss of total thrust due to shield friction reached 41%.
作者
袁阳
YUAN Yang(China Railway 18th Bureau Group Third Engineering Co.,Ltd.,Zhuozhou,Hebei 072750,China)
出处
《施工技术(中英文)》
2025年第7期25-31,共7页
Construction Technology
基金
中国铁建股份有限公司2022年度科技研究开发计划(2022-C1)
中铁十八局集团有限公司2022年度科研创新项目(C2022-051)。
关键词
隧道
盾构
摩擦损耗
刀盘扭矩
参数预测
机器学习
tunnels
shields
friction loss
cutterhead torque
parameter prediction
machine learning
