论文标题
基于振动的桥梁健康监测使用电信电缆
Vibration-Based Bridge Health Monitoring using Telecommunication Cables
论文作者
论文摘要
桥梁健康监测（BHM）可实现桥梁的早期损害检测，因此对于避免更严重的损害至关重要，这可能会导致重大金融和人类损失。但是，传统的BHM系统需要桥梁上的专用传感器，安装和维护和难以扩大规模是昂贵的。为了克服这一挑战，我们引入了一个新系统，该系统使用现有的电信电缆进行分布式声传感（DAS）来收集桥梁动态应变响应。此外，我们开发了一种两模块的物理引导的系统识别方法，以通过桥梁动力学来约束应变和位移模式形状来从嘈杂的DAS数据中提取桥梁损伤敏感信息（例如，固有频率和模式形状）。这种方法不需要在桥梁上安装和维护专用传感器。我们通过在甲板下方的导管中运行的混凝土桥上的现场实验来评估我们的系统。我们的系统成功识别了模态频率和重建的仪表尺度模式形状。
Bridge Health Monitoring (BHM) enables early damage detection of bridges and is thus critical for avoiding more severe damages that might result in major financial and human losses. However, conventional BHM systems require dedicated sensors on bridges, which is costly to install and maintain and hard to scale up. To overcome this challenge, we introduce a new system that uses existing telecommunication cables for Distributed Acoustic Sensing (DAS) to collect bridge dynamic strain responses. In addition, we develop a two-module physics-guided system identification method to extract bridge damage-sensitive information (e.g., natural frequencies and mode shapes) from noisy DAS data by constraining strain and displacement mode shapes by bridge dynamics. This approach does not require installation and maintenance of dedicated sensors on bridges. We evaluate our system with field experiments on a concrete bridge with fiber cable running in a conduit under the deck. Our system successfully identified modal frequencies and reconstructed meter-scale mode shapes.
