School of Civil Engineering, Southeast University, Nanjing 210096, China.
Jiangsu Key Laboratory of Engineering Mechnics, Southeast University, Nanjing 210096, China.
Sensors (Basel). 2019 Feb 28;19(5):1038. doi: 10.3390/s19051038.
This paper provides an overview of the area-wise distributed monitoring based on long gauge sensing to meet the requirements in the field of structural health monitoring (SHM), the methodology is reviewed and its application is discussed in this paper. First, a long gauge sensing technique developed for SHM, which utilizes carbon fiber and optical fiber sensors with important technical improvements is introduced and described. Second, area-wise distributed monitoring is discussed in order to demonstrate the high-performance of this approach in structural monitoring using a network of long gauge sensors. Third, theories of processing area-wise distributed monitoring data for comprehensive structural identification have been developed, which perform a rich recognition of local and global structural parameters including structural deflections, dynamic characteristics, damages, and loads. This area-wise distributed monitoring concept and the aforementioned long gauge sensing technique are finally embedded into an SHM system to offer a viable monitoring solution for groups and networks of infrastructural systems. Some successful applications are cited to confirm the effectiveness of the SHM system.
本文提供了基于长计测的区域分布式监测概述，以满足结构健康监测（SHM）领域的要求，本文回顾了该方法，并讨论了其应用。首先，介绍并描述了一种为 SHM 开发的长计测传感技术，该技术利用碳纤维和光纤传感器，并进行了重要的技术改进。其次，讨论了区域分布式监测，以展示使用长计测传感器网络进行结构监测的这种方法的高性能。第三，开发了用于综合结构识别的区域分布式监测数据处理理论，可对局部和全局结构参数进行丰富识别，包括结构挠度、动态特性、损伤和载荷。最后，将这种区域分布式监测概念和上述长计测传感技术嵌入到 SHM 系统中，为基础设施系统的组和网络提供可行的监测解决方案。引用了一些成功的应用案例来证实 SHM 系统的有效性。
