Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14775
Title: Assessment of delamination in composite beams using shear horizontal (SH) wave mode
Authors: Su, Z 
Yang, C
Pan, N
Ye, L
Zhou, LM 
Keywords: Artificial neural network
Composite laminate
Damage identification
Delamination
Lamb wave
Issue Date: 2007
Publisher: Pergamon Press
Source: Composites science and technology, 2007, v. 67, no. 2, p. 244-251 How to cite?
Journal: Composites science and technology 
Abstract: Interaction of Lamb waves with structural damage can lead to wave mode conversion. In this study, the shear horizontal (SH) wave, from the mode conversion of the fundamental symmetric Lamb wave (S0), was used for quantitative identification of delamination in composite beams, based on advanced signal processing using an inverse approach. SH wave propagation under various delamination conditions in CF/EP beams made of orthotropic plain woven fabrics was simulated, and signal characteristics were extracted in terms of the concept of digital damage fingerprints (DDF). With the aid of an artificial neural algorithm, the relation between the DDF of delamination-scattered SH mode and damage parameters was calibrated, whereby the occurrence, location and size of delamination in the composite beams were assessed. The approach was experimentally validated, and the results demonstrate the effectiveness of SH mode for quantitative damage evaluation of composite structures.
URI: http://hdl.handle.net/10397/14775
ISSN: 0266-3538
EISSN: 1879-1050
DOI: 10.1016/j.compscitech.2006.08.019
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