In this paper, we propose to use an inverse-based method that is implemented by a Genetic algorithm (GA) for obtaining the strain and temperature profiles in a 10-mm fiber Bragg grating (FBG) sensor and a series set of ten 10-mm sensors. The changes of strain and temperatures are analyzed by utilizing the sensitivity of the refractive index and grating period of the fiber Bragg grating sensor. This can be accomplished by reconstructing the FBG structural shape by using a Genetic algorithm that is compared with the measured output data. Our ultimate objective for utilizing these results are intended for real-time sensing of strain and temperature of these sensors which are ideally suited for smart structures health monitoring and diagnostics applications.

Date Published: 23 April 2010
PDF: 13 pages
Proc. SPIE 7677, Fiber Optic Sensors and Applications VII, 76770J (23 April 2010); doi: 10.1117/12.846450

Published in SPIE Proceedings Vol. 7677:
Fiber Optic Sensors and Applications VII
Alexis Mendez; Henry H. Du; Anbo Wang; Eric Udd; Stephen J. Mihailov, Editor(s)