Roadmap on measurement technologies for next generation structural health monitoring systems
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 solu...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Online Access: | https://hdl.handle.net/10356/174549 |
| _version_ | 1826128794162823168 |
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| author | Laflamme, Simon Ubertini, Filippo Di Matteo, Alberto Pirrotta, Antonina Perry, Marcus Fu, Yuguang Li, Jian Wang, Hao Hoang, Tu Glisic, Branko Bond, Leonard J. Pereira, Mauricio Shu, Yening Loh, Kenneth J. Wang, Yang Ding, Siqi Wang, Xinyue Yu, Xun Han, Baoguo Goldfeld, Yiska Ryu, Donghyeon Napolitano, Rebecca Moreu, Fernando Giardina, Giorgia Milillo, Pietro |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Laflamme, Simon Ubertini, Filippo Di Matteo, Alberto Pirrotta, Antonina Perry, Marcus Fu, Yuguang Li, Jian Wang, Hao Hoang, Tu Glisic, Branko Bond, Leonard J. Pereira, Mauricio Shu, Yening Loh, Kenneth J. Wang, Yang Ding, Siqi Wang, Xinyue Yu, Xun Han, Baoguo Goldfeld, Yiska Ryu, Donghyeon Napolitano, Rebecca Moreu, Fernando Giardina, Giorgia Milillo, Pietro |
| author_sort | Laflamme, Simon |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T07:30:44Z |
| format | Journal Article |
| id | ntu-10356/174549 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:30:44Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1745492024-04-05T15:33:51Z Roadmap on measurement technologies for next generation structural health monitoring systems Laflamme, Simon Ubertini, Filippo Di Matteo, Alberto Pirrotta, Antonina Perry, Marcus Fu, Yuguang Li, Jian Wang, Hao Hoang, Tu Glisic, Branko Bond, Leonard J. Pereira, Mauricio Shu, Yening Loh, Kenneth J. Wang, Yang Ding, Siqi Wang, Xinyue Yu, Xun Han, Baoguo Goldfeld, Yiska Ryu, Donghyeon Napolitano, Rebecca Moreu, Fernando Giardina, Giorgia Milillo, Pietro School of Civil and Environmental Engineering Engineering Structural health monitoring Autonomous sensing 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. Published version This publication is part of the Vidi project InStruct, Project Number 18 912, financed by the Dutch Research Council (NWO). 2024-04-02T04:28:50Z 2024-04-02T04:28:50Z 2023 Journal Article Laflamme, S., Ubertini, F., Di Matteo, A., Pirrotta, A., Perry, M., Fu, Y., Li, J., Wang, H., Hoang, T., Glisic, B., Bond, L. J., Pereira, M., Shu, Y., Loh, K. J., Wang, Y., Ding, S., Wang, X., Yu, X., Han, B., ...Milillo, P. (2023). Roadmap on measurement technologies for next generation structural health monitoring systems. Measurement Science and Technology, 34(9), 093001-. https://dx.doi.org/10.1088/1361-6501/acd135 0957-0233 https://hdl.handle.net/10356/174549 10.1088/1361-6501/acd135 2-s2.0-85162111735 9 34 093001 en Measurement Science and Technology © 2023 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. application/pdf |
| spellingShingle | Engineering Structural health monitoring Autonomous sensing Laflamme, Simon Ubertini, Filippo Di Matteo, Alberto Pirrotta, Antonina Perry, Marcus Fu, Yuguang Li, Jian Wang, Hao Hoang, Tu Glisic, Branko Bond, Leonard J. Pereira, Mauricio Shu, Yening Loh, Kenneth J. Wang, Yang Ding, Siqi Wang, Xinyue Yu, Xun Han, Baoguo Goldfeld, Yiska Ryu, Donghyeon Napolitano, Rebecca Moreu, Fernando Giardina, Giorgia Milillo, Pietro Roadmap on measurement technologies for next generation structural health monitoring systems |
| title | Roadmap on measurement technologies for next generation structural health monitoring systems |
| title_full | Roadmap on measurement technologies for next generation structural health monitoring systems |
| title_fullStr | Roadmap on measurement technologies for next generation structural health monitoring systems |
| title_full_unstemmed | Roadmap on measurement technologies for next generation structural health monitoring systems |
| title_short | Roadmap on measurement technologies for next generation structural health monitoring systems |
| title_sort | roadmap on measurement technologies for next generation structural health monitoring systems |
| topic | Engineering Structural health monitoring Autonomous sensing |
| url | https://hdl.handle.net/10356/174549 |
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