软土地区深埋隧道沉降监测技术及工程应用研究

Research on Settlement Monitoring Technology and Engineering Application of Deep-Buried Tunnels in Soft Soil Areas

摘要:

针对软土地区深埋隧道沉降控制标准严、变形机制复杂、监测实施难度大等问题，以上海某隧道土建工程为依托，开展沉降监测技术与工程应用研究。研制超高精度静力水准系统（HLS）与机器视觉智能变形识别系统，构建大型科学设施土建工程监测数据集成可视化平台。结果表明：（1）HLS系统测量分辨率达0.01 mm，机器视觉系统在20 m范围内精度优于0.1 mm，满足监测精度要求；（2）隧道沉降随施工推进呈非线性增长，运营期地表堆载影响呈两阶段特征，堆载小于50 kPa时沉降增长速率显著更高；（3）智慧感知平台实现了地质、结构、施工与监测数据的一体化管理和多维可视化。相关成果已应用于实际工程，可为软土地区深埋隧道沉降监测与控制提供参考。

Abstract:

To address the challenges of stringent settlement control standards, complex deformation mechanisms, and difficult monitoring implementation for deep-buried tunnels in soft soil areas, relying on a tunnel construction project in Shanghai, the research is conducted on settlement monitoring technology and its engineering applications. A high-precision hydrostatic leveling system (HLS) and a machine vision-based intelligent deformation recognition system are developed, and an integrated visualization platform for monitoring data of civil engineering of large-scale scientific facilities is established. The results indicate that (1) The measurement resolution of the HLS system reaches 0.01 mm, and the accuracy of the machine vision system within a range of 20 m is better than 0.1 mm, meeting the requirements of monitoring accuracy. (2) Tunnel settlement exhibits non-linear growth with construction progress, and the influence of surface surcharge during the operation phase shows a two-stage characteristic, with a significantly higher settlement growth rate when the surcharge is less than 50 kPa. (3) The smart perception platform realizes integrated management and multi-dimensional visualization of geological, structural, construction and monitoring data. The relevant results have been applied in practical engineering, providing a reference for settlement monitoring and control of deep-buried tunnels in soft soil areas.