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Classification Model for Damage Localization in a Plate Structure

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Mechanics of Composite Materials Aims and scope

The present study is devoted to the problem of damage localization by means of data classification. The commercial ANSYS finite-elements program was used to make a model of a cantilevered composite plate equipped with numerous strain sensors. The plate was divided into zones, and, for data classification purposes, each of them housed several points to which a point mass of magnitude 5 and 10% of plate mass was applied. At each of these points, a numerical modal analysis was performed, from which the first few natural frequencies and strain readings were extracted. The strain data for every point were the input for a classification procedure involving k nearest neighbors and decision trees. The classification model was trained and optimized by finetuning the key parameters of both algorithms. Finally, two new query points were simulated and subjected to a classification in terms of assigning a label to one of the zones of the plate, thus localizing these points. Damage localization results were compared for both algorithms and were found to be in good agreement with the actual application positions of point load.

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Acknowledgements

The research leading to these results has received funding from the Latvia State Research Program under the grant agreement “Innovative Materials and Smart Technologies for Environmental Safety, IMATEH.”

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Authors and Affiliations

  1. Institute of Materials and Structures, Riga Technical University, Riga, Latvia

    R. Janeliukstis, S. Ruchevskis & A. Chate

Authors
  1. R. Janeliukstis
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  2. S. Ruchevskis
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  3. A. Chate
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Correspondence to R. Janeliukstis.

Additional information

Russian translation published in Mekhanika Kompozitnykh Materialov, Vol. 53, No. 6, pp. 1043-1058, November-Decemer, 2017.

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Janeliukstis, R., Ruchevskis, S. & Chate, A. Classification Model for Damage Localization in a Plate Structure. Mech Compos Mater 53, 725–736 (2018). https://doi.org/10.1007/s11029-018-9698-8

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  • DOI: https://doi.org/10.1007/s11029-018-9698-8

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