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Experimental method of Guide wave based on piezoelectric transducers under high temperature

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  • Author(s): Xue, Zhaopeng; Qiu, Lei; Zheng, Hui; Xiong, Ke
  • Source:
    Journal of Physics: Conference Series ; volume 2252, issue 1, page 012002 ; ISSN 1742-6588 1742-6596
  • Document Type:
    article in journal/newspaper
  • Language:
    unknown
  • Additional Information
    • Publication Information:
      IOP Publishing
    • Publication Date:
      2022
    • Abstract:
      In recent years, the importance of Structural health monitoring (SHM) has been widely recognized. Among all the SHM methods, Guide Wave (GW) based SHM method using bonded piezoelectric transducers proves promising for its sensitivity to minor damage and minor amplitude loss in the large monitoring area. The thermal protection structure (TPS) is the most fundamental guarantee to ensure the safety of aerospace vehicles, and its structural health monitoring has great safety significance and economic value; however, it is often used in high-temperature environments. Conventional GW experimental methods fail in high-temperature environments due to the effects of high-temperature environments, so experimental methods for stable and reliable acquisition of GW signals at high temperatures need to be considered. In this paper, an experimental method for regular purchase of GW signals in a high-temperature environment, which uses a high-temperature sensor, a high-temperature resistant glue, and a high-temperature integration process, is proposed. The experimental results show that the practical method can obtain stable and reliable GW signals at 200°C, beneficial for damage monitoring in high-temperature environments.
    • Accession Number:
      10.1088/1742-6596/2252/1/012002
    • Accession Number:
      10.1088/1742-6596/2252/1/012002/pdf
    • Online Access:
      https://doi.org/10.1088/1742-6596/2252/1/012002
      https://iopscience.iop.org/article/10.1088/1742-6596/2252/1/012002
      https://iopscience.iop.org/article/10.1088/1742-6596/2252/1/012002/pdf
    • Rights:
      http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
    • Accession Number:
      edsbas.855C0171