Spectral Verification of the Mechanisms behind FBG-Based Ultrasonic Guided Wave Detection.
Lamb wave
fiber Bragg grating (FBG)
spectral verification
ultrasonic guided wave (UGW)
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
17 Nov 2020
17 Nov 2020
Historique:
received:
19
10
2020
revised:
13
11
2020
accepted:
16
11
2020
entrez:
20
11
2020
pubmed:
21
11
2020
medline:
21
11
2020
Statut:
epublish
Résumé
Ultrasonic guided wave (UGW) detection with fiber Bragg grating (FBG)-based sensors has received increasing attention in the last decades due to the ability to perform non-destructive inspection (NDI) of large plate-like surfaces with a network of lightweight and multiplexed sensors. For accurate UGW measurements, several studies concluded that the ratio between the wavelength of the UGW and the length of the FBG should be above 7. However, shorter FBGs suffer from a lower FBG reflectivity and less steep slopes in the reflection spectrum. In this work we experimentally verified the effect of a passing UGW on the Bragg peak of FBG sensors of different lengths. By performing edge-filtering interrogation throughout the FBG's reflection spectrum, we were able to reconstruct the FBG's spectral response to a UGW in function of time. Our experimental findings are partially in line with those in the literature considering the UGW wavelength to FBG length ratio and the corresponding Bragg peak changes. We experimentally show for the first time that for shorter FBG sensors, the strain modulation is translated mostly into Bragg peak shifting, while for longer FBG sensors, Bragg peak deformation takes over as main mechanism. Despite the different mechanism for the latter, the UGW can still be detected by edge-filtering on the steepest slope, and with a much higher sensitivity.
Identifiants
pubmed: 33213032
pii: s20226571
doi: 10.3390/s20226571
pmc: PMC7698563
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Cleansky
ID : 314768
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