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A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates

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Abstract

The need for global damage detection methods that can be applied in complex structures has led to the development of methods that examine the structural dynamic behavior. The damage detection problem can be considered as a inverse problem with minimization of a objective function. For those reasons, a new nature-inspired optimization method based on sunflowers’ motion is introduced. The proposed sunflower optimization algorithm (SFO) technique is a population-based iterative heuristic global optimization algorithm for multi-modal problems. Compared to traditional algorithms, SFO employs terms as root velocity and pollination providing robustness. The new method is then applied in an inverse problem of structural damage detection in composite laminated plates.

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Acknowledgements

The authors would like to acknowledge the financial support from the Brazilian agency CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico and CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior.

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Authors and Affiliations

  1. Mechanical Engineering Institute, Federal University of Itajubá, Itajubá, Brazil

    Guilherme Ferreira Gomes, Sebastiao Simões da Cunha Jr. & Antonio Carlos Ancelotti Jr.

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  1. Guilherme Ferreira Gomes
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  2. Sebastiao Simões da Cunha Jr.
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  3. Antonio Carlos Ancelotti Jr.
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Correspondence to Guilherme Ferreira Gomes.

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Gomes, G.F., da Cunha, S.S. & Ancelotti, A.C. A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates. Engineering with Computers 35, 619–626 (2019). https://doi.org/10.1007/s00366-018-0620-8

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  • DOI: https://doi.org/10.1007/s00366-018-0620-8

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