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contributor authorHuang, H.
contributor authorBalusu, K.
date accessioned2022-02-05T21:50:41Z
date available2022-02-05T21:50:41Z
date copyright1/19/2021 12:00:00 AM
date issued2021
identifier issn2572-3901
identifier othernde_4_2_021007.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276448
description abstractRecently published experimental works on remotely bonded fiber Bragg grating (FBG) ultrasound (US) sensors show that they display some unique characteristics that are not observed with directly bonded FBG sensors. These studies suggest that the bonding of the optical fiber strongly influences how the ultrasound waves are coupled from the structure to the FBG sensor. In this paper, the analytical model of the structure-adhesive-optical fiber section, treated as an ultrasound coupler, is derived and analyzed to explain the observed experimental phenomena. The resulting dispersion curve shows that the ultrasound coupler possesses a cutoff frequency, above which a dispersive longitudinal mode exists. The low propagation speed of the dispersive longitudinal mode leads to multiple resonances at and above the cutoff frequency. To characterize the resonant characteristics of the ultrasound coupler, a semi-analytical model is implemented and the scattering parameters (S-parameters) are introduced for broadband time-frequency analysis. The simulation was able to reproduce the experiment observations reported by other researchers. Furthuremore, the behaviors of the remotely bonded FBG sensors can be explained based on its resonant characteristics.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Theoretical/Numerical Study on Ultrasound Wave Coupling From Structure to Remotely Bonded Fiber Bragg Grating Ultrasound Sensor
typeJournal Paper
journal volume4
journal issue2
journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
identifier doi10.1115/1.4049372
journal fristpage021007-1
journal lastpage021007-10
page10
treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2021:;volume( 004 ):;issue: 002
contenttypeFulltext


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