Fiber Bragg grating parameter estimation by using two thermally modulated intensity spectra for arbitrary distributed strain sensing

Hsu-Chih Cheng; Yu-Lung Lo

doi:10.1117/12.621705

12 April 2005 Fiber Bragg grating parameter estimation by using two thermally modulated intensity spectra for arbitrary distributed strain sensing

Hsu-Chih Cheng, Yu-Lung Lo

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Proceedings Volume 5852, Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics; (2005) https://doi.org/10.1117/12.621705
Event: Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, 2004, -, Singapore

Abstract

In this paper we describe the use of a genetic algorithm and two thermally-modulated fiber Bragg grating's (FBG's) reflection intensity spectra for inversely extracting complete physical parameters. The fiber Bragg grating’s complete parameters included the grating period, grating position, grating length, chirped direction, and refractive index modulation. In this study, a uniform and chirped fiber Bragg gratings are synthesized successfully in the numerical analysis. Also, the experimental results show that the complete parameter synthesis in grating period, grating length, refractive index modulation and various grating positions from a 10 mm length uniform FBG have been recovered accurately. After finding those physical parameters, the arbitrary distributed strain sensing technique is easy to accomplish by using two fiber Bragg gratings sensing techniques.

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Hsu-Chih Cheng and Yu-Lung Lo "Fiber Bragg grating parameter estimation by using two thermally modulated intensity spectra for arbitrary distributed strain sensing", Proc. SPIE 5852, Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, (12 April 2005); https://doi.org/10.1117/12.621705

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KEYWORDS

Fiber Bragg gratings

Genetic algorithms

Reflection

Modulation

Refractive index

Optimization (mathematics)

Solids

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