掘进参数对盾构刀具磨损影响及优化措施分析

Analysis of deformation effect of shield tunnel under existing buildings

盾构机掘进过程中,掘进参数作为盾构刀具磨损的主要影响因素,有必要对掘进参数与刀具磨损间的影响进行研究。该研究依托成都地铁13号线砂卵石地层盾构隧道施工工程,通过对现场采集的掘进参数数据进行信号预处理并利用小波包分析提取刀具磨损识别指标,结合灰色关联分析法及回归拟合建立刀具磨损状态识别模型,探析掘进参数对盾构刀具磨损的影响规律,并提出针对盾构掘进参数设置的优化方案。研究结果表明,此方法适用于识别盾构刀具磨损状态,其中扭矩信号识别刀具磨损状态精度最高、效果最稳定,可为类似盾构隧道施工工程提高盾构掘进效率提供参考。

In the driving process of shield machine,driving parameters are the main influencing factors of shield tool wear,so it is necessary to study the influence between driving parameters and tool wear.Based on the sand-pebble shield tunnel construction project of Chengdu Metro Line 13,this study conducted signal pre-processing on the excavation parameter data collected on site,extracted the tool wear identification indicators by wavelet packet analysis,combined with gray correlation coefficient analysis and regression fitting to establish the tool wear state identification model,and analyzed the influence of excavation parameters on shield tool wear.The optimization scheme of shield tunneling parameters is proposed.The results show that this method is suitable for identifying the wear state of shield tools,and the torque signal has the highest accuracy and the most stable effect.This paper can provide reference for improving the efficiency of shield tunneling in similar shield tunnel construction projects.