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MST研究路线图|下一代结构健康监测系统测量技术路线图

23 2月 2024 gabriels

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.

文章介绍

Roadmap on measurement technologies for next generation structural health monitoring systems

Simon Laflamme, Filippo Ubertini, Alberto Di Matteo, Antonina Pirrotta, Marcus Perry, Yuguang Fu, Jian Li, Hao Wang, Tu Hoang, Branko Glisic, Leonard J Bond, Mauricio Pereira, Yening Shu, Kenneth J Loh, Yang Wang, Siqi Ding, Xinyue Wang, Xun Yu, Baoguo Han, Yiska Goldfeld, Donghyeon Ryu, Rebecca Napolitano, Fernando Moreu, Giorgia Giardina and Pietro Milillo

通讯作者：

Simon Laflamme，美国爱荷华州立大学
Filippo Ubertini，意大利佩鲁贾大学

期刊介绍

Measurement Science and Technology

2022年影响因子：2.4 Citescore：3.9
Measurement Science and Technology(MST)涵盖整个测量科学和传感器技术的理论、实践和应用，包括：精密测量和计量学；传感器和传感器系统；光学和激光技术；流体；成像；光谱学；材料和材料加工；生物、医学和生命科学；环境和大气；新型仪器系统和组件。MST还出版专题综述和特刊。