Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Distributed Strain Measurement with High Spatial Resolution Using Fiber Bragg Gratings and Optical Frequency Domain Reflectometry

Not Accessible

Your library or personal account may give you access

Abstract

High spatial resolution and sensitivity are required in distributed strain measurements for structural health monitoring. In this paper we show that the distributed strain measurements with the high spatial resolution can be implemented by optical frequency domain reflectometry (OFDR). We could easily map the strain profile along a long gauge FBG from a spectrogram by applying Fourier transform analysis with a sliding window to the signal obtained from the measurement system. The OFDR signal can be simulated by the transfer matrix method based on coupled mode theory. We evaluated the spatial resolution and the sensitivity from the results of simulations and experiments. We confirmed that the spatial resolution of the current system is about 4 mm and it may be changed according to the location of the grating in the sensing fiber. In addition, the strain distribution adjacent to holes of an aluminum tensile specimen was measured. The agreement between this experimental result and the simulated one was good.

© 2006 IEICE

PDF Article
More Like This
Distributed Strain and Shape Measurements using Optical Frequency Domain Reflectometry

Alex Tongue and Ryan Scurlock
Th4.28 Optical Fiber Sensors (OFS) 2020

Long distance measurement with high spatial resolution by optical frequency domain reflectometry using a frequency-shifted feedback fiber laser

M. Yoshida, K. Nakmura, and Hiromasa Ito
CWK41 Conference on Lasers and Electro-Optics (CLEO:S&I) 2000

High resolution liquid-level sensor based on fiber Bragg gratings in attenuation fiber and optical low-coherence reflectometry

Dragan Coric, Rodrigue Chatton, Hans G. Limberger, and René P. Salathé
TuE24 Optical Fiber Sensors (OFS) 2006

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.