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Damage Detection Integrating ISHM and LWSHM Techniques

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Special Topics in Structural Dynamics, Volume 5

Abstract

Currently, structural health monitoring (SHM) represents one of the main areas of interest in engineering, being applied both for maintenance cost reduction and operational safety. In this contribution, a hybrid SHM system is proposed as a complementary methodology for the damage diagnosis of a typical aeronautical material panel (aeronautical aluminum plate 2024-T3), through the integration of two SHM techniques, namely the electromechanical impedance technique and the Lamb waves. For the diagnosis, a damage metric extracted from the impedance signatures of the structure was used in conjunction with an algorithm for localization of the damage by considering Lamb waves. In addition, temperature compensation techniques were systematically employed to avoid false diagnoses and a statistical model was developed to establish threshold indices according to a predefined confidence level. Thus, this work presents an evaluation of the sensitivity of the proposed techniques, considering a success rate. Finally, the results show the great potential for the integration of the two techniques together with statistical approach.

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Authors and Affiliations

  1. LMEst – Laboratory of Structural Mechanics, INCT (EIE) – National Institute of Science and Technology, Federal University of Uberlândia, Uberlândia, MG, Brazil

    Lucas Altamirando de Andrade da Rocha, Roberto Mendes Finzi Neto & Valder Steffen Jr.

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  1. Lucas Altamirando de Andrade da Rocha
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  2. Roberto Mendes Finzi Neto
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  3. Valder Steffen Jr.
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Correspondence to Lucas Altamirando de Andrade da Rocha .

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Editors and Affiliations

  1. University of Sheffield, Sheffield, United Kingdom

    Nikolaos Dervilis

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de Andrade da Rocha, L.A., Neto, R.M.F., Steffen, V. (2019). Damage Detection Integrating ISHM and LWSHM Techniques. In: Dervilis, N. (eds) Special Topics in Structural Dynamics, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-75390-4_17

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  • DOI: https://doi.org/10.1007/978-3-319-75390-4_17

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