Structural health monitoring using ultrasonic guided-waves and the degree of health index

Sergio Cantero-Chinchilla, Gerardo Aranguren*, José Manuel Royo, Manuel Chiachío, Josu Etxaniz, Andrea Calvo-Echenique

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

1 Citation (Scopus)

Abstract

This paper proposes a new damage index named degree of health (DoH) to efficiently tackle structural damage monitoring in real-time. As a key contribution, the proposed index relies on a pattern matching methodology that measures the time-of-flight mismatch of sequential ultrasonic guided-wave measurements using fuzzy logic fundamentals. The ultrasonic signals are generated using the transmission beamforming technique with a phased-array of piezoelectric transducers. The acquisition is carried out by two phased-arrays to compare the influence of pulse-echo and pitch-catch modes in the damage assessment. The proposed monitoring approach is illustrated in a fatigue test of an aluminum sheet with an initial notch. As an additional novelty, the proposed pattern matching methodology uses the data stemming from the transmission beamforming technique for structural health monitoring. The results demonstrate the efficiency and robustness of the proposed framework in providing a qualitative and quantitative assessment for fatigue crack damage.

Original languageEnglish
Article number993
Pages (from-to)1-17
Number of pages17
JournalSensors (Switzerland)
Volume21
Issue number3
DOIs
Publication statusPublished - 2 Feb 2021

Bibliographical note

Funding Information:
Funding: This paper is part of the SAFE-FLY project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 721455. In addition, this work has been supported by a continuous collaboration between Aernnova Engineering Division S.A. and the University of the Basque Country.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Keywords

  • Degree of health index
  • Fatigue damage detection
  • Structural health monitoring
  • Transmission beamforming
  • Ultrasonic guided-waves

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