Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/64625
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Type: | Journal article |
Title: | A Lamb-wave-based technique for damage detection in composite laminates |
Author: | Ng, C. Veidt, M. |
Citation: | Smart Materials and Structures, 2009; 18(7):1-12 |
Publisher: | IOP Publishing Ltd |
Issue Date: | 2009 |
ISSN: | 0964-1726 1361-665X |
Statement of Responsibility: | C T Ng and M Veidt |
Abstract: | This paper presents the application of Lamb waves to inspect damage in composite laminates. The proposed methodology employs a network of transducers that are used to sequentially scan the structure before and after the presence of damage by transmitting and receiving Lamb wave pulses. A damage localization image is reconstructed by analyzing the cross-correlation of the scatter signal envelope with the excitation pulse envelope for each transducer pair. A potential damage area is then reconstructed by superimposing the image observed from each actuator and sensor signal path. Both numerical and experimental case studies are used to verify the proposed methodology for composite laminates. Three-dimensional finite element models with a transducer network consisting of four transducer elements are used in the numerical case studies. The experimental case studies employ a transducer network using four piezoelectric transducers as transmitter elements and a laser vibrometer to measure the response signals at four locations close to the transducers. The results show that the method enables the reliable detection of structural damage with locating inaccuracies of the order of a few millimeters inside as well as outside of an inspection area of 100 x 100 mm². |
Rights: | © 2009 IOP Publishing Ltd. |
DOI: | 10.1088/0964-1726/18/7/074006 |
Published version: | http://dx.doi.org/10.1088/0964-1726/18/7/074006 |
Appears in Collections: | Aurora harvest 7 Civil and Environmental Engineering publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_64625.pdf | Accepted version | 3.09 MB | Adobe PDF | View/Open |
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