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Roadmap on measurement technologies for next generation structural health monitoring systems. Measurement Science and Technology

Laflamme, Simon and Ubertini, Filippo and Di Matteo, Alberto and Pirrotta, Antonina and Perry, Marcus and Fu, Yuguang and Li, Jian and Wang, Hao and Hoang, Tu and Glisic, Branko and Bond, Leonard J and Pereira, Mauricio and Shu, Yening and Loh, Kenneth and Wang, Yang and Ding, Siqi and Wang, Xinyue and Yu, Xun and Han, Bauguo and Goldfeld, Yiska and Ryu, Donghyeon and Napolitano, Rebecca and Moreu, Fernando and Giardina, Giorgia and Milillo, Pietro (2023) Roadmap on measurement technologies for next generation structural health monitoring systems. Measurement Science and Technology. Measurement Science and Technology. Institute of Physics (IOP) Publishing. doi: 10.1088/1361-6501/acd135. ISSN 0957-0233.

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Abstract

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.

Item URL in elib:https://elib.dlr.de/201390/
Document Type:Article
Title:Roadmap on measurement technologies for next generation structural health monitoring systems. Measurement Science and Technology
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Laflamme, SimonUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ubertini, FilippoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Di Matteo, AlbertoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pirrotta, AntoninaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Perry, MarcusUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fu, YuguangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Li, JianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wang, HaoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hoang, TuUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Glisic, BrankoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bond, Leonard JUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pereira, MauricioUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Shu, YeningUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Loh, KennethUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wang, YangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ding, SiqiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wang, XinyueUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yu, XunUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Han, BauguoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Goldfeld, YiskaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ryu, DonghyeonUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Napolitano, RebeccaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Moreu, FernandoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Giardina, GiorgiaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Milillo, PietroUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:9 June 2023
Journal or Publication Title:Measurement Science and Technology
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1088/1361-6501/acd135
Publisher:Institute of Physics (IOP) Publishing
ISSN:0957-0233
Status:Published
Keywords:Structural health, measurement technology, remote sensing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - AI4SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Microwaves and Radar Institute > Spaceborne SAR Systems
Deposited By: Rizzoli, Paola
Deposited On:18 Dec 2023 11:18
Last Modified:15 Jan 2024 10:50

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