Reconstruction of Optical Fiber Bragg Grating Sensor Strain Distributions Using a Genetic Algorithm

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dc.contributor.advisor Dr. Kara Peters, Committee Chair en_US
dc.contributor.author Gill, Apninder Singh en_US
dc.date.accessioned 2010-04-02T18:07:15Z
dc.date.available 2010-04-02T18:07:15Z
dc.date.issued 2004-03-26 en_US
dc.identifier.other etd-12192003-150447 en_US
dc.identifier.uri http://www.lib.ncsu.edu/resolver/1840.16/1765
dc.description.abstract Optical fiber Bragg gratings are unique among embedded strain sensors due to their potential to measure strain distributions with a spatial resolution of a few nanometers over gage lengths of a few centimeters. This thesis presents a genetic algorithm for the interrogation of optical fiber Bragg grating strain sensors. The method calculates the period distribution along the Bragg grating which can then be directly related to the axial strain distribution. The period distribution is determined from the output intensity spectrum of the grating via a T-matrix approach. The genetic algorithm inversion method presented requires only intensity information and reconstructs non-linear and discontinuous distributions well, including regions with significant gradients. The method is demonstrated through example reconstructions of Bragg grating sensor simulated data. The development of this algorithm will permit the use of Bragg grating sensors for damage identification in regions close to localized damages where strong strain non-linearities occur. A second application of the genetic algorithm search procedure is also discussed, the optimization of sensor locations for a particular structural application. An implementation of the genetic algorithm to a discrete sensor location problem is presented and its performance evaluated. A combination of the developed GA with available damage identification systems can be effectively used to find the optimal sensor distribution for damage detection. en_US
dc.rights I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. en_US
dc.subject T-matrix method en_US
dc.subject sensor placement en_US
dc.subject strain sensors en_US
dc.subject fiber Bragg gratings en_US
dc.subject genetic algorithms en_US
dc.title Reconstruction of Optical Fiber Bragg Grating Sensor Strain Distributions Using a Genetic Algorithm en_US
dc.degree.name MS en_US
dc.degree.level thesis en_US
dc.degree.discipline Mechanical Engineering en_US


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