基于遥感技术的深部岩质隧道结构健康长期监测

Wadslin Frenelus, Hui Peng
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引用次数: 1

摘要

由于持续保证深部工程结构安全开挖和可持续运行的迫切需要,基于遥感技术的结构健康监测已成为该领域的一个突出研究课题。事实上,在它们的整个生命周期中,深隧道通常暴露在许多复杂的情况下,这些情况不可避免地影响了它们的结构健康。因此,需要适当和有效的监测系统来提供实时信息,作为有效和及时决策的真正基础。由于传感器是任何监测系统的核心,因此对深岩隧道的传感器选择和设计需要特别注意。基于相关研究的深入搜索,本工作确定并描述了深部岩石隧道的相关结构健康问题以及监测系统中使用的传感器的适用性。并讨论了监测的结果和挑战。结果表明:随着时间的推移,深部岩质隧道出现开挖破坏区域退化、锚杆和锚索锚杆腐蚀、二次衬砌出现裂缝、断裂和应变、二次衬砌出现地下水泄漏、收敛变形和火灾引发的损伤等典型结构病害。部署了各种类型的遥感器来监测这些疾病。对于深岩隧道,建议采用具有自适应和鲁棒传感器的综合监测系统,以保证其可靠和持久的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Long-Term Monitoring of the Structural Health of Deep Rock Tunnels with Remote Sensing Techniques
Due to the substantial need to continuously ensure safe excavations and sustainable operation of deep engineering structures, structural health monitoring based on remote sensing techniques has become a prominent research topic in this field. Indeed, throughout their lifetime, deep tunnels are usually exposed to many complex situations which inevitably affect their structural health. Therefore, appropriate and effective monitoring systems are required to provide real-time information that can be used as a true basis for efficient and timely decision-making. Since sensors are at the heart of any monitoring system, their selection and conception for deep rock tunnels necessitates special attention. This work identifies and describes relevant structural health problems of deep rock tunnels and the applicability of sensors employed in monitoring systems, based on in-depth searches performed on pertinent research. The outcomes and challenges of monitoring are discussed as well. Results show that over time, deep rock tunnels suffer several typical structural diseases namely degradation of the excavation damaged areas, corrosion of rock bolts and cable bolts, cracks, fractures and strains in secondary lining, groundwater leaks in secondary lining, convergence deformation and damage provoked by the triggering of fires. Various types of remote sensors are deployed to monitor such diseases. For deep rock tunnels, it is suggested to adopt comprehensive monitoring systems with adaptive and robust sensors for their reliable and long-lasting performance.
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