Paper
1 June 1998 Damage detection and characterization by processing laser vibrometer measurement results: application to composite materials
Paolo Castellini, Gian Marco Revel
Author Affiliations +
Proceedings Volume 3411, Third International Conference on Vibration Measurements by Laser Techniques: Advances and Applications; (1998) https://doi.org/10.1117/12.307732
Event: Third International Conference on Vibration Measurements by Laser Techniques: Advances and Applications, 1998, Ancona, Italy
Abstract
In recent years damage detection techniques based on vibration data have been largely investigated with promising results for many applications. In particular, several attempts have been done to determine which kind of data must be extracted for damage monitoring. In this work scanning laser doppler vibrometry (SLDV) has been sued to detect, localize and characterize delaminations in composite materials. In order to improve understanding of the analyzed phenomena and to design efficient post-processing algorithms for experimental SLDV data, a theoretical lumped model has been developed by the authors. The model describes the dynamic behavior of the structure in the delamination zone. Following the model result, an experimental investigation by SLDV has been performed on panels with known detachments. Results have been compared with those achieved by thermal tomography, which at present is one of the most used techniques for monitoring the state of composite materials. The presented methodology has proved to be efficient also to determine the delamination deepness.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paolo Castellini and Gian Marco Revel "Damage detection and characterization by processing laser vibrometer measurement results: application to composite materials", Proc. SPIE 3411, Third International Conference on Vibration Measurements by Laser Techniques: Advances and Applications, (1 June 1998); https://doi.org/10.1117/12.307732
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Cited by 10 scholarly publications.
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KEYWORDS
Composites

Acoustics

Damage detection

Data modeling

Tomography

Vibrometry

Algorithm development

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