Roadmap on measurement technologies for next generation structural health monitoring systems
Roadmap on measurement technologies for next generation structural health monitoring systems
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DOI：
10.1088/1361-6501/acd135
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发表时间：
2023-09-01
影响因子：
2.4
通讯作者：
Milillo，Pietro
中科院分区：
文献类型：
--
作者：
Laflamme，Simon;Ubertini，Filippo;Milillo，Pietro
结构健康监测（SHM）是工程系统状态评估过程的自动化。当应用于几何尺寸较大的组件或结构时，例如民用和航空航天基础设施和系统中的组件或结构，一个关键的挑战是设计能够产生可操作信息的传感解决方案。这是一项难以成本有效地进行的任务，因为所考虑的大表面和典型缺陷和损坏的局部性质。为了提高状态评估过程的性能，在将常规测量技术应用于SHM方面已经进行了大量的研究工作。然而，由于各种经济和技术挑战，这些SHM解决方案的现场实施仍处于起步阶段。本路线图出版物的目的是讨论为SHM目的开发的现代测量技术，沿着其相关的挑战和机遇，并为可能产生有影响力的现场应用的研究和开发工作提供一条道路。该路线图分为四个部分：分布式嵌入式传感系统，分布式表面传感系统，多功能材料和遥感。认识到许多测量技术可能在部分之间重叠，我们将分布式传感解决方案定义为涉及或暗示利用在被监测组件或系统内（嵌入式）或（表面）几何组织的传感器数量的解决方案。多功能材料是将多种功能结合在一起的联合收割机传感解决方案，例如那些还具有结构功能的材料。遥感是非接触式的解决方案，例如手机，无人机和卫星。它还包括远程控制机器人的概念。
Structural health monitoring (SHM) is the automation of the condition assessment process of an engineered system. When applied to geometrically large components or structures, such as those found in civil and aerospace infrastructure and systems, a critical challenge is in designing the sensing solution that could yield actionable information. This is a difficult task to conduct cost-effectively, because of the large surfaces under consideration and the localized nature of typical defects and damages. There have been significant research efforts in empowering conventional measurement technologies for applications to SHM in order to improve performance of the condition assessment process. Yet, the field implementation of these SHM solutions is still in its infancy, attributable to various economic and technical challenges. The objective of this Roadmap publication is to discuss modern measurement technologies that were developed for SHM purposes, along with their associated challenges and opportunities, and to provide a path to research and development efforts that could yield impactful field applications. The Roadmap is organized into four sections: distributed embedded sensing systems, distributed surface sensing systems, multifunctional materials, and remote sensing. Recognizing that many measurement technologies may overlap between sections, we define distributed sensing solutions as those that involve or imply the utilization of numbers of sensors geometrically organized within (embedded) or over (surface) the monitored component or system. Multi-functional materials are sensing solutions that combine multiple capabilities, for example those also serving structural functions. Remote sensing are solutions that are contactless, for example cell phones, drones, and satellites. It also includes the notion of remotely controlled robots.