摘要
地铁多为近距离双线并行隧道,隧道开挖时相互影响造成了地表的不规则沉降与叠加,其预测与控制已成为一个亟待解决的难题。基于随机介质理论,将直角坐标系转化为局部极坐标系,得到了任意断面形状的单线、双线隧道开挖引起的地表沉降公式。以哈尔滨地铁3号线某区间大断面隧道与标准断面隧道开挖为例,基于随机介质理论极坐标表达式,得到了不同断面形状、尺寸的并行隧道开挖地表沉降量及其分布规律。通过预测曲线与实测及数值模拟曲线的对比,验证了用随机介质理论极坐标表达式预测并行隧道开挖引起地表沉降的科学性和可靠性。
Most metro tunnels are two-line parallel tunnels with a short interval range.The interaction resulted from the excavation of two tunnels could bring about the irregular settlement and superposition,the prediction and control of settlement has become an urgent scientific problem.Based on the stochastic medium theory,transforming the rectangular coordinate system into the local polar coordinate system,the equations of ground settlement caused by the excavation of single-line tunnel and two-line tunnels with different cross-section shapes are obtained.We take the excavation of a large cross-section and a standard cross-section of Harbin Metro Line 3 as example.The ground settlement and its distribution law caused by excavation of the parallel tunnels with different cross-section shapes and sizes are obtained by using the deduced polar coordinates equations.The comparing the predicted curve to the measured and numerical simulation curves shows that the polar coordinates equations of stochastic medium theory are scientific and reliable in predicting the ground settlement caused by the excavation of parallel tunnels.
作者
王辉
苗胜军
王子木
宋元方
郭向阳
WANG Hui;MIAO Shengjun;WANG Zimu;SONG Yuanfang;GUO Xiangyang(Department of Civil Engineering,University of Science and Technology Beijing,Beijing 100083,China;Beijing Key Laboratory of Urban Underground Space Engineering,University of Science and Technology Beijing,Beijing 100083,China)
出处
《人民长江》
北大核心
2019年第4期182-187,共6页
Yangtze River
基金
国家自然科学基金项目(51574014)
国家基础研究发展"973"计划项目(2015CB060200)
关键词
地表沉降
地铁并行隧道
大断面
随机介质理论
数值模拟
ground settlement
metro parallel tunnels
large section
stochastic medium theory
numerical simulation
作者简介
王辉,女,博士研究生,主要从事岩石力学与工程领域方面的研究工作。E-mail:wanghui_9265@163.com;通讯作者:苗胜军,男,教授,博士生导师,主要从事岩石力学与工程领域方面的研究工作。E-mail:miaoshengjun@163.com.