Research on non-uniform strain profile reconstruction along fiber Bragg grating via genetic programming algorithm and interrelated experimental verification

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@Article{Zheng:2014:OC,

• author = "Shijie Zheng and Nan Zhang and Yanjun Xia and Hongtao Wang",
• title = "Research on non-uniform strain profile reconstruction along fiber {Bragg} grating via genetic programming algorithm and interrelated experimental verification",
• journal = "Optics Communications",
• volume = "315",
• pages = "338--346",
• year = "2014",
• ISSN = "0030-4018",
• DOI = "doi:10.1016/j.optcom.2013.11.027",
• URL = "http://www.sciencedirect.com/science/article/pii/S0030401813011024",
• keywords = "genetic algorithms, genetic programming, Structural Health Monitoring, Fibre Bragg Grating, Non-uniform strain distribution",
• abstract = "A new heuristic strategy for the non-uniform strain profile reconstruction along Fibre Bragg Gratings is proposed in this paper, which is based on the modified transfer matrix and Genetic Programming(GP) algorithm. The present method uses Genetic Programming to determine the applied strain field as a function of position along the fiber length. The structures that undergo adaptation in genetic programming are hierarchical structures which are different from that of conventional genetic algorithm operating on strings. GP regress the strain profile function which matches the measured spectrum best and makes space resolution of strain reconstruction arbitrarily high, or even infinite. This paper also presents an experimental verification of the reconstruction of non-homogeneous strain fields using GP. The results are compared with numerical calculations of finite element method. Both the simulation examples and experimental results demonstrate that Genetic Programming can effectively reconstruct continuous profile expression along the whole FBG, and greatly improves its computational efficiency and accuracy.",

}

Genetic Programming entries for Shijie Zheng Nan Zhang Yanjun Xia Hongtao Wang

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