Paper
27 March 2019 Damage detection and localization using random decrement technique on metallic plates
Author Affiliations +
Abstract
Technique with the capability of detecting and localizing damage of structures using naturally operating environments can provide a possibility of developing more efficient and simpler structural health monitoring systems. This passive sensing technique would eliminate the need of active actuation which requires power either from battery or ambients to generate controlled excitation source. In a recent study, self-Green’s functions (GF) were reconstructed using auto-correlation (AC), combined with a damage index by comparing the differences in GFs between damaged and pristine metallic panels to locate the damage. In this paper, random decrement (RD) technique is proposed to reconstruct GF with computational efficiency. While the RD has been widely used for damage detection and structure parameter extraction in civil structures, in the frequency usually below 1 kHz; this study explores using RD up to 15 kHz for transient wave reconstruction and then damage localization. The concept is first validated through simulation for a plate structure, and the results show that the reconstructed self-Green’s function match well with the one from the auto-correlation technique after approximately 10,000 averages of the RD signatures.
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YuSheng Chang and Fuh-Gwo Yuan "Damage detection and localization using random decrement technique on metallic plates", Proc. SPIE 10970, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019, 109702Z (27 March 2019); https://doi.org/10.1117/12.2519313
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KEYWORDS
Aluminum

Damage detection

Inspection

Laser Doppler velocimetry

Passive remote sensing

Structural health monitoring

Aircraft structures

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