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Low-cost sensor-based damage localization for large-area monitoring of FRP composites

Author(s): ORCID




Medium: journal article
Language(s): English
Published in: Smart Materials and Structures, , n. 6, v. 33
Page(s): 065042
DOI: 10.1088/1361-665x/ad4e7b
Abstract:

In recent years, there has been growing interest in self-sensing structural materials across research and industry sectors. Detecting and locating structural damage typically requires numerous sensors wired to a data acquisition (DAQ) circuit, rendering implementation impractical in real structures. This paper proposes an innovative, cost-effective sensor network for damage detection and localization in fiber-reinforced polymer composites. The innovation encompasses three key elements: (1) utilizing carbon fiber tows within the composite as piezoresistive sensors, eliminating the need for additional foreign sensor devices; (2) introducing a novel sensor layout wherein sensor tow branches with varied resistance values are connected in parallel, reducing the number of connections to the DAQ circuit and cutting manufacturing costs significantly; (3) developing a practical sensor terminal fabrication technique to minimize manufacturing expenses. The proposed design methodology for the branch resistance values is first validated using a demonstration panel. Subsequently, the overall strategy is assessed by conducting impact tests on carbon and glass fiber-reinforced composite specimens. Results validate the sensor’s ability to accurately detect and locate structural damage.

Copyright: © 2024 Luke B Demo, Eleonora M Tronci, Tymon B Nieduzak, Maria Q Feng, Venkat R Aitharaju
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10783899
  • Published on:
    20/06/2024
  • Last updated on:
    25/01/2025
 
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