Multimode Guided Waves–Based Structural Defect Localization Longitudinally and Cross-Sectionally in T-Bars
Publication: Journal of Aerospace Engineering
Volume 33, Issue 4
Abstract
Guided waves have been widely utilized in various structural health monitoring (SHM) techniques because of their long propagation distance and high sensitivity to small-scale defects in structural types such as plates and bars. In particular, T-bars are typical structural components commonly used in aerospace engineering, playing significant roles in load-carrying. Thus, the health states of T-bars largely affect the integrity and safety of aircraft structures. This paper presents a novel defect-detection method for T-bars relying on the examination of propagation characteristics of multimode guided waves. To select proper wave frequencies and modes that are sensitive to different locations of defects in T-bars, the dispersion curves and cross-sectional mode shapes of multimode guided waves are investigated systematically using the semianalytical finite element (SAFE) method. A defect localization strategy is then developed based on the multimode characteristics, able of identifying defects both along the longitudinal direction and the cross-sectional region. A weighted gathering method is presented to reduce the interference from the modes other than the selected ones, giving rise to increased accuracy of defect identification. Both finite element (FE) simulations and experiments are performed for an aluminum T-bar structure to validate the feasibility and precision of the proposed method.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and can only be provided with restrictions including the SAFE model of a T-bar in Fig. 2 and the calculation code of the dispersion curve. The FE models of a T-bar in Figs. 8 and 10 are only available in summary format.
Acknowledgments
This work was supported by the National Key Research and Development Program of China (Grant No. 2018YFA0702800), the National Natural Science Foundation of China (Grant No. 11702051) and the Fundamental Research Funds for the Central Universities (DUT16ZD214).
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Published In
Journal of Aerospace Engineering
Volume 33 • Issue 4 • July 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Aug 6, 2019
Accepted: Nov 27, 2019
Published online: Mar 18, 2020
Published in print: Jul 1, 2020
Discussion open until: Aug 18, 2020
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