Roadmap on measurement technologies for next generation structural health monitoring systems

Roadmap on measurement technologies for next generation structural health monitoring systems

Laflamme, Simon (Iowa State University)
Ubertini, Filippo (University of Perugia)
Di Matteo, Alberto (Università degli Studi di Palermo)
Pirrotta, Antonina (Università degli Studi di Palermo)
Perry, Marcus (University of Strathclyde)
Fu, Yuguang (Nanyang Technological University)
Glisic, Branko (Princeton University)
Shu, Yening (University of California)
Giardina, Giorgia (TU Delft Geo-engineering)

2023

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.

autonomous sensing
distributed sensing
multifunctional materials
remote sensing
SHM
structural health monitoring

http://resolver.tudelft.nl/uuid:d6d33853-739e-4722-9ece-f104eab27c12

https://doi.org/10.1088/1361-6501/acd135

0957-0233

Measurement Science and Technology, 34 (9)

Institutional Repository

journal article

© 2023 Simon Laflamme, Filippo Ubertini, Alberto Di Matteo, Antonina Pirrotta, Marcus Perry, Yuguang Fu, Branko Glisic, Yening Shu, Giorgia Giardina, More Authors