A scalable data-driven approach to temperature baseline reconstruction for guided wave structural health monitoring of anisotropic carbon-fibre-reinforced polymer structures
File(s)Yue and Aliabadi 2019.pdf (1.34 MB)
Accepted version
Author(s)
Yue, Nan
Aliabadi, MH
Type
Journal Article
Abstract
To account for the temperature effect on guided wave signals in complex structures, a significant amount of baseline measurements typically need to be collected over a large temperature range to serve as a library of signals at all possible temperatures, which, if not impossible, is highly impractical. This article presents a data-driven temperature baseline reconstruction approach that is applicable for various structures made from the same material. The influence of temperature on the amplitude and phase of guided wave measurements are experimentally quantified as dimensionless compensation factors. The derived compensation factors are used to reconstruct baselines at various temperatures for guided wave measurements in a simple flat plate and a stiffened panel. With a single baseline measurement at 20°C and the reconstructed baseline using the predetermined temperature compensation factors, impact damage was successfully detected and located when current measurements were up to 25°C and 20°C higher than the baseline temperature, respectively.
Date Issued
2020-09-01
Date Acceptance
2019-11-01
Citation
Structural Health Monitoring: an international journal, 2020, 19 (5), pp.1487-1506
ISSN
1475-9217
Publisher
SAGE Publications
Start Page
1487
End Page
1506
Journal / Book Title
Structural Health Monitoring: an international journal
Volume
19
Issue
5
Copyright Statement
© 2019 Owner. The final, definitive version of this paper has been published in Yue, N., & Aliabadi, M. H. (2019). A scalable data-driven approach to temperature baseline reconstruction for guided wave structural health monitoring of anisotropic carbon-fibre-reinforced polymer structures. Structural Health Monitoring. https://doi.org/10.1177/1475921719887109 by Sage Publications Ltd. All rights reserved. It is available at: https://doi.org/10.1177/1475921719887109
Sponsor
Clean Sky Joint Undertaking
Identifier
https://journals.sagepub.com/doi/full/10.1177/1475921719887109
Grant Number
671435
Subjects
Science & Technology
Technology
Engineering, Multidisciplinary
Instruments & Instrumentation
Engineering
Structural health monitoring
guided waves
thermal sensitivity
temperature compensation
composite laminates
stiffened panel
up-scaling
piezoelectric sensor
LOCALIZATION
09 Engineering
Acoustics
Publication Status
Published
Date Publish Online
2019-11-15