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Nonlinear elastic wave energy imaging for the detection and localization of in-sight and out-of-sight defects in composites

Joost Segers (UGent) , Saeid Hedayatrasa (UGent) , Gaétan Poelman (UGent) , Wim Van Paepegem (UGent) and Mathias Kersemans (UGent)
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Abstract
In this study, both linear and nonlinear vibrational defect imaging is performed for a cross-ply carbon fiber-reinforced polymer (CFRP) plate with artificial delaminations and for a quasi-isotropic CFRP with delaminations at the edge. The measured broadband chirp vibrational response is decomposed into different components: the linear response and the nonlinear response in terms of the higher harmonics. This decomposition is performed using the short-time Fourier transformation combined with bandpass filtering in the time-frequency domain. The linear and nonlinear vibrational response of the defect is analyzed by calculation of the defect-to-background ratio. Damage maps are created using band power calculation, which does not require any user-input nor prior information about the inspected sample. It is shown that the damage map resulting from the linear band power shows high sensitivity to shallow defects, while the damage map associated to the nonlinear band power shows a high sensitivity to both shallow and deep defects. Finally, a baseline-free framework is proposed for the detection and localization of out-of-sight damage. The damage is localized by source localization of the observed nonlinear wave components in the wavenumber domain.
Keywords
composites, NDT, local defect resonance, nonlinearity, laser Doppler vibrometry, band power, short‐time Fourier transform, out‐of‐sightdamage detection, DAMAGE DETECTION, RESONANCE FREQUENCIES, IMPACT DAMAGE, SPECTROSCOPY, EXCITATION, MODE

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MLA
Segers, Joost, et al. “Nonlinear Elastic Wave Energy Imaging for the Detection and Localization of In-Sight and out-of-Sight Defects in Composites.” APPLIED SCIENCES-BASEL, vol. 10, no. 11, 2020, doi:10.3390/app10113924.
APA
Segers, J., Hedayatrasa, S., Poelman, G., Van Paepegem, W., & Kersemans, M. (2020). Nonlinear elastic wave energy imaging for the detection and localization of in-sight and out-of-sight defects in composites. APPLIED SCIENCES-BASEL, 10(11). https://doi.org/10.3390/app10113924
Chicago author-date
Segers, Joost, Saeid Hedayatrasa, Gaétan Poelman, Wim Van Paepegem, and Mathias Kersemans. 2020. “Nonlinear Elastic Wave Energy Imaging for the Detection and Localization of In-Sight and out-of-Sight Defects in Composites.” APPLIED SCIENCES-BASEL 10 (11). https://doi.org/10.3390/app10113924.
Chicago author-date (all authors)
Segers, Joost, Saeid Hedayatrasa, Gaétan Poelman, Wim Van Paepegem, and Mathias Kersemans. 2020. “Nonlinear Elastic Wave Energy Imaging for the Detection and Localization of In-Sight and out-of-Sight Defects in Composites.” APPLIED SCIENCES-BASEL 10 (11). doi:10.3390/app10113924.
Vancouver
1.
Segers J, Hedayatrasa S, Poelman G, Van Paepegem W, Kersemans M. Nonlinear elastic wave energy imaging for the detection and localization of in-sight and out-of-sight defects in composites. APPLIED SCIENCES-BASEL. 2020;10(11).
IEEE
[1]
J. Segers, S. Hedayatrasa, G. Poelman, W. Van Paepegem, and M. Kersemans, “Nonlinear elastic wave energy imaging for the detection and localization of in-sight and out-of-sight defects in composites,” APPLIED SCIENCES-BASEL, vol. 10, no. 11, 2020.
@article{8664248,
  abstract     = {{In this study, both linear and nonlinear vibrational defect imaging is performed for a cross-ply carbon fiber-reinforced polymer (CFRP) plate with artificial delaminations and for a quasi-isotropic CFRP with delaminations at the edge. The measured broadband chirp vibrational response is decomposed into different components: the linear response and the nonlinear response in terms of the higher harmonics. This decomposition is performed using the short-time Fourier transformation combined with bandpass filtering in the time-frequency domain. The linear and nonlinear vibrational response of the defect is analyzed by calculation of the defect-to-background ratio. Damage maps are created using band power calculation, which does not require any user-input nor prior information about the inspected sample. It is shown that the damage map resulting from the linear band power shows high sensitivity to shallow defects, while the damage map associated to the nonlinear band power shows a high sensitivity to both shallow and deep defects. Finally, a baseline-free framework is proposed for the detection and localization of out-of-sight damage. The damage is localized by source localization of the observed nonlinear wave components in the wavenumber domain.}},
  articleno    = {{3924}},
  author       = {{Segers, Joost and Hedayatrasa, Saeid and Poelman, Gaétan and Van Paepegem, Wim and Kersemans, Mathias}},
  issn         = {{2076-3417}},
  journal      = {{APPLIED SCIENCES-BASEL}},
  keywords     = {{composites,NDT,local defect resonance,nonlinearity,laser Doppler vibrometry,band power,short‐time Fourier transform,out‐of‐sightdamage detection,DAMAGE DETECTION,RESONANCE FREQUENCIES,IMPACT DAMAGE,SPECTROSCOPY,EXCITATION,MODE}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{15}},
  title        = {{Nonlinear elastic wave energy imaging for the detection and localization of in-sight and out-of-sight defects in composites}},
  url          = {{http://dx.doi.org/10.3390/app10113924}},
  volume       = {{10}},
  year         = {{2020}},
}

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