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Materials 2016, 9(11), 901; doi:10.3390/ma9110901

Linear and Nonlinear Guided Wave Imaging of Impact Damage in CFRP Using a Probabilistic Approach

Group Wave Propagation and Signal Processing, KU Leuven Kulak, Etienne Sabbelaan 53, 8500 Kortrijk, Belgium
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Academic Editor: Ferri M.H. Aliabadi
Received: 16 September 2016 / Revised: 24 October 2016 / Accepted: 2 November 2016 / Published: 7 November 2016
(This article belongs to the Special Issue Advances in Structural Health Monitoring for Aerospace Structures)
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Abstract

The amount and variety of composite structures that need to be inspected for the presence of impact damage has grown significantly in the last few decades. In this paper, an application of a probabilistic ultrasonic guided wave imaging technique for impact damage detection in carbon fiber-reinforced polymers (CFRP) is presented. On the one hand, a linear, baseline-dependent, technique utilizing the well-known correlation-based RAPID method and an array of piezoelectric transducers is applied to detect impact-induced damage in plate-like composite structures. Furthermore, a baseline-independent nonlinear extension of the standard RAPID method is proposed, and its performance is demonstrated both numerically and experimentally. Compared to the conventional RAPID, the baseline-free version suffers from a somewhat lower imaging quality. However, this drawback is compensated by the fact that no damage-free (intact) baseline is necessary for successful imaging of damage. View Full-Text
Keywords: ultrasonic; guided waves; RAPID; baseline-free; SHM ultrasonic; guided waves; RAPID; baseline-free; SHM
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Hettler, J.; Tabatabaeipour, M.; Delrue, S.; Van Den Abeele, K. Linear and Nonlinear Guided Wave Imaging of Impact Damage in CFRP Using a Probabilistic Approach. Materials 2016, 9, 901.

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