Damage Detection in Composite Plates by Using an Enhanced Time Reversal Method
Publication: Journal of Aerospace Engineering
Volume 20, Issue 3
Abstract
A damage detection technique, which does not rely on any past baseline signals, is proposed to assess damage in composite plates by using an enhanced time reversal method. A time reversal concept of modern acoustics has been adapted to guided-wave propagation to improve the detectability of local defects in composite structures. In particular, wavelet-based signal processing techniques have been developed to enhance the time reversibility of Lamb waves in thin composite laminates. In the enhanced time reversal method, an input signal at an excitation point can be reconstructed if a response signal measured at another point is reemitted to the original excitation point after being reversed in a time domain. This time reversibility is based on linear reciprocity of elastic waves, and it is violated when nonlinearity is caused by a defect along a direct wave path. Examining the deviation of the reconstructed signal from the known initial input signal allows instantaneous identification of damage without requiring the baseline signal for comparison. The validity of the proposed method has been exemplified through experimental studies on a quasi-isotropic laminate with delamination.
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Acknowledgments
This research is partially sponsored by Los Alamos National Laboratory, Contract No. UNSPECIFIED75067-001-03. Funding for this project has been provided by the Department of Energy through the internal funding program at Los Alamos National Laboratory known as Laboratory Directed Research and Development (Damage Prognosis Solutions). Additional support has been provided by the National Science Foundation, Grant No. NSFCMS-9988909. The second writer would like to acknowledge the Post-Doctoral Fellowship Program (No. KOSEFM01-2003-000-10124-0) of the Korea Science and Engineering Foundation (KOSEF), which provides support for his stay at Stanford University.
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© 2007 ASCE.
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Received: Nov 12, 2004
Accepted: Aug 29, 2006
Published online: Jul 1, 2007
Published in print: Jul 2007
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