A case study of newly tunnels over-crossing the existing subway tunnels

IF 1.9 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Distributed Sensor Networks Pub Date : 2022-03-01 DOI:10.1177/15501329221087183

Ben Wu, Wei Liu, P. Shi, Xiangyang Xu, Yingjing Liu

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引用次数: 2

Abstract

Due to the continuous expansion of congested urban areas, many new tunnels are inevitable to over-cross the existing subway lines and may even affect the operation of existing lines. It is vital to investigate the response of existing tunnel caused by over-crossing tunneling. In this study, a case history of closely spaced twin tunnels excavated above the existing tunnels in soft soil stratum was presented. The deformation of the existing tunnels induced by the excavation of the new tunnels was automatically monitored. In-situ monitoring results showed that the vertical displacement of the existing tunnels was mainly uplift and its development showed obvious phase characteristics. The increase rate of the vertical displacement in Phase I and II induced by the second over-crossing was smaller than that of the first over-crossing. A superposition method was employed to describe the uplift section characteristics of the existing tunnels. The influence ranges of tunnel excavation on the left and right lines of the existing tunnels were approximately 5.5D and 4.5D, respectively. The torsional deformation of the rail bed and the convergence of the existing tunnels are explored, and the reasons for the changes of the over-crossing sections are analyzed at the same time.

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以新建隧道跨越现有地铁隧道为例

由于城市拥挤地区的不断扩大，许多新建隧道不可避免地要与现有地铁线路交叉，甚至可能影响现有地铁线路的运行。研究跨隧道施工对既有隧道的响应具有重要意义。本文介绍了软土地层中在既有隧道之上开挖密距双隧道的实例。对新隧道开挖引起的既有隧道变形进行了自动监测。现场监测结果表明，既有隧道竖向位移以上拔为主，其发展具有明显的阶段性特征。第2次过桥引起的第1期和第2期垂直位移增幅小于第1次过桥。采用叠加法对既有隧道的上拔断面特征进行了描述。隧道开挖对既有隧道左右线的影响范围分别约为5.5D和4.5D。探讨了轨道床的扭转变形和既有隧道的收敛，同时分析了跨断面变化的原因。

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来源期刊

International Journal of Distributed Sensor Networks 工程技术-电信学

CiteScore

6.50

自引率

4.30%

发文量

审稿时长

3.6 months

期刊介绍： International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.