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Detection of fatigue crack propagation through damage characteristic FWHM using FBG sensors
- Source :
- Sensor Review. 40:665-673
- Publication Year :
- 2020
- Publisher :
- Emerald, 2020.
-
Abstract
- Purpose Crack damage detection for aluminum alloy materials using fiber Bragg Grating (FBG) sensor is a kind of structure health monitoring. In this paper, the damage index of full width at half maximum (FWHM) was extracted from the distorted reflection spectra caused by the crack-tip inhomogeneous strain field, so as to explain the crack propagation behaviors. Design/methodology/approach The FWHM variations were also investigated through combining the theoretical calculations with simulation and experimental analyses. The transfer matrix algorithm was developed to explore the mechanism by which FWHM changed with the linear and quadratic strain. Moreover, the crack-tip inhomogeneous strain field on the specimen surface was computed according to the digital image correlation measurement during the experiments. Findings The experimental results demonstrated that the saltation points in FWHM curve accorded with the moments of crack propagation to FBG sensors. Originality/value The interpretation of reflected spectrum deformation mechanism with crack propagation was analyzed based on both simulations and experiments, and then the performance of potential damage features – FWHM were proposed and evaluated. According to the correlation between the damage characteristic and the crack-tip location, the crack-tip of the specimen could be measured rapidly and accurately with this technique.
- Subjects :
- Digital image correlation
Materials science
business.industry
Fracture mechanics
02 engineering and technology
021001 nanoscience & nanotechnology
01 natural sciences
Transfer matrix
Industrial and Manufacturing Engineering
Spectral line
010309 optics
Full width at half maximum
Optics
Deformation mechanism
Fiber Bragg grating
Fiber optic sensor
0103 physical sciences
Electrical and Electronic Engineering
0210 nano-technology
business
Subjects
Details
- ISSN :
- 02602288
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- Sensor Review
- Accession number :
- edsair.doi...........2721af6d104ce3ffd76358b374ed15c8