期刊
COMPOSITES SCIENCE AND TECHNOLOGY
卷 67, 期 2, 页码 244-251出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compscitech.2006.08.019
关键词
lamb wave; delamination; damage identification; composite laminate; artificial neural network
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 (So), 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. (c) 2006 Elsevier Ltd. All rights reserved.
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