摘要
为准确预测洛阳粉质黏土与砂卵石复合地层中的盾构隧道地表沉降量,采用线性回归拟合方法,对洛阳地铁某区间隧道盾构掘进时的地表沉降监测数据进行拟合,引入地表最大沉降修正系数α和沉降槽宽度修正系数β对单线Peck公式进行修正。结果表明:针对单线隧道,采用线性回归方法拟合隧道横断面地表沉降得到的曲线与实际监测数据吻合度高,当修正系数α为0.4~0.9、β为0.5~0.7时得到的修正Peck公式精度最高;针对双线隧道,该地层下的地表沉降基本呈双峰“W”形,双线隧道的土体损失率η和沉降槽宽度系数K的分布区间分别为0.2%~0.8%和0.2~0.5,平均值分别为0.45%和0.37,且先行线的土体损失率均值、沉降槽宽度系数均值分别为后行线的1.4倍、1.3倍。研究成果可为洛阳典型粉质黏土与砂卵石复合地层中盾构隧道后续施工提供数据支撑。
In order to accurately predict the surface settlement of the shield tunnel in the silty clay and sand gravel composite formation in Luoyang,a linear regression fitting method was proposed.To fit a certain section of Luoyang subway by the monitoring data of surface settlement during shield tunneling,maximum surface settlement correction factorαand settlement tank width correction factorβwere brought out modifying the single-line Peck formula.The results indicated that for single-line tunnels,the linear regression method used to fit the surface settlement curve of the tunnel cross-section was in highly consistent with the actual monitoring data.When the correction factorαwithin the range of 0.4 to 0.9,andβwithin the range of 0.5 to 0.7,the corrected Peck formula obtained the highest accuracy.For double-line tunnels,the surface settlement under the formation was basically in a bimodal"W"shape.Double-line tunnel's soil loss rateηand the distribution range of the width coefficient of the settlement tank K was 0.2%to 0.8%and 0.2 to 0.5,respectively and the mean values were 0.45%and 0.37,respectively.The average soil loss rate of the leading line and the average width coefficient of settlement tank was 1.4 times and 1.3 times of the rear line,respectively.The research results provided data support for the subsequent construction of the shield tunnel in the typical silty clay and sand gravel composite formation in Luoyang.
作者
郜新军
魏文宇
李珊珊
苏庆辉
GAO Xinjun;WEI Wenyu;LI Shanshan;SU Qinghui(School of Civil Engineering,Zhengzhou University,Zhengzhou 450001,China)
出处
《郑州大学学报（工学版）》
CAS
北大核心
2025年第1期75-81,共7页
Journal of Zhengzhou University（Engineering Science）
基金
国家自然科学基金资助项目(52078469)
河南省科技攻关项目(242102240031)。
