Laboratory for Nondestructive Evaluation and Structural Health Monitoring Studies, Department of Civil and Environmental Engineering, University of Pittsburgh, 3700 O'Hara Street, 729 Benedum Hall, Pittsburgh, PA 15261, USA.
Sensors (Basel). 2021 Jun 24;21(13):4336. doi: 10.3390/s21134336.
Bridge health monitoring is increasingly relevant for the maintenance of existing structures or new structures with innovative concepts that require validation of design predictions. In the United States there are more than 600,000 highway bridges. Nearly half of them (46.4%) are rated as fair while about 1 out of 13 (7.6%) is rated in poor condition. As such, the United States is one of those countries in which bridge health monitoring systems are installed in order to complement conventional periodic nondestructive inspections. This paper reviews the challenges associated with bridge health monitoring related to the detection of specific bridge characteristics that may be indicators of anomalous behavior. The methods used to detect loss of stiffness, time-dependent and temperature-dependent deformations, fatigue, corrosion, and scour are discussed. Owing to the extent of the existing scientific literature, this review focuses on systems installed in U.S. bridges over the last 20 years. These are all major factors that contribute to long-term degradation of bridges. Issues related to wireless sensor drifts are discussed as well. The scope of the paper is to help newcomers, practitioners, and researchers at navigating the many methodologies that have been proposed and developed in order to identify damage using data collected from sensors installed in real structures.
桥梁健康监测对于维护现有结构或具有创新概念的新结构越来越重要,这些结构需要验证设计预测。在美国,有超过 60 万座公路桥梁。其中近一半(46.4%)被评为良好,而约 1/13(7.6%)被评为较差。因此,美国是安装桥梁健康监测系统的国家之一,以补充传统的定期非破坏性检查。本文回顾了与检测可能表明异常行为的特定桥梁特征相关的桥梁健康监测挑战。讨论了用于检测刚度损失、时变和温度相关变形、疲劳、腐蚀和冲刷的方法。由于现有科学文献的范围,本综述重点介绍了过去 20 年在美国桥梁上安装的系统。这些都是导致桥梁长期退化的主要因素。还讨论了与无线传感器漂移相关的问题。本文的范围是帮助新手、从业者和研究人员在使用从安装在实际结构中的传感器收集的数据来识别损坏时,了解已经提出和开发的许多方法。