Structural Health Monitoring Using a New Type of Distributed Fiber Optic Smart Textiles in Combination with Optical Frequency Domain Reflectometry (OFDR): Taking a Pedestrian Bridge as Case Study.
OFDR
distributed fiber optic sensors
dynamic strain measurements
smart textile
structural health monitoring
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
01 Feb 2023
01 Feb 2023
Historique:
received:
31
12
2022
revised:
28
01
2023
accepted:
28
01
2023
entrez:
11
2
2023
pubmed:
12
2
2023
medline:
12
2
2023
Statut:
epublish
Résumé
Distributed fiber optic sensors (DFOS) have become a new method for continuously monitoring infrastructure status. However, the fiber's fragility and the installation's complexity are some of the main drawbacks of this monitoring approach. This paper aims to overcome this limitation by embedding a fiber optic sensor into a textile for a faster and easier installation process. To demonstrate its feasibility, the smart textile was installed on a pedestrian bridge at the University of Massachusetts Lowell. In addition, dynamic strain data were collected for two different years (2021 and 2022) using Optical Frequency Domain Reflectometry (OFDR) and compared, to determine the variability of the data after one year of installation. We determined that no significant change was observed in the response pattern, and the difference between the amplitude of both datasets was 14% (one person jumping on the bridge) and 43% (two people jumping) at the first frequency band. This result shows the proposed system's functionality after one year of installation, as well as its potential use for traffic monitoring.
Identifiants
pubmed: 36772632
pii: s23031591
doi: 10.3390/s23031591
pmc: PMC9921771
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Transportation Infrastructure Durability Center at the University of Maine from the U.S. Department of Transportation's University Transportation Centers Program.
ID : 69A3551847101 (1.5 and C11)
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