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Virtual Sensors for SHM

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Lamb-Wave Based Structural Health Monitoring in Polymer Composites

Part of the book series: Research Topics in Aerospace ((RTA))

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Abstract

Guided waves can be used for Structural Health Monitoring (SHM) of modern composites. However, due to the complex wave propagation different scanning and imaging methods are used to achieve a better understanding of wave interaction with complex structures. The acquired data allows advanced applications. The following section presents a method for the design and optimization of sensors and sensor networks for SHM using guided wave propagation measurements.

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Author information

Authors and Affiliations

  1. German Aerospace Center (DLR), Institute of Composite Structures and Adaptive Systems, Lilienthalplatz 7, 38108, Braunschweig, Germany

    A. Szewieczek

  2. Institute of Adaptronics and Function Integration, Braunschweig University of Technology, Langer Kamp 6, 38106, Braunschweig, Germany

    M. Sinapius

Authors
  1. A. Szewieczek
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  2. M. Sinapius
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Corresponding author

Correspondence to M. Sinapius .

Editor information

Editors and Affiliations

  1. Institute of Mechanics, Helmut-Schmidt-University, University of the Federal Armed Forces Hamburg, Hamburg, Germany

    Rolf Lammering

  2. Institute of Mechanics, Otto von Guericke University Magdeburg, Magdeburg, Germany

    Ulrich Gabbert

  3. Institute of Adaptronics and Function Integration, Braunschweig University of Technology, Braunschweig, Germany

    Michael Sinapius

  4. Faculty of Mathematics, Saarland University, Saarbrücken, Germany

    Thomas Schuster

  5. DLR - German Aerospace Center, Braunschweig, Germany

    Peter Wierach

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Szewieczek, A., Sinapius, M. (2018). Virtual Sensors for SHM. In: Lammering, R., Gabbert, U., Sinapius, M., Schuster, T., Wierach, P. (eds) Lamb-Wave Based Structural Health Monitoring in Polymer Composites. Research Topics in Aerospace. Springer, Cham. https://doi.org/10.1007/978-3-319-49715-0_18

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  • DOI: https://doi.org/10.1007/978-3-319-49715-0_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49714-3

  • Online ISBN: 978-3-319-49715-0

  • eBook Packages: EngineeringEngineering (R0)

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