Abstract
This paper presents the Local Resonance Frequency Map (LRFM) algorithm that provides an instant interpretation of structural features and defects using an estimation of local dominant frequency of the pulse-echo laser ultrasonic waves at a fine grid of spatial sampling points. A Q-switched laser and a laser Doppler vibrometer are used for generation and sensing of laser ultrasonic waves, and a two-axis translation stage is used for raster scanning of the combined generation and sensing laser beams. Experiments show that LRFM works well for damage detection in various structures from metallic to composites specimens.
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Acknowledgement
We express a deep gratitude to Prof. Jung Ryul Lee (OESL, KAIST) for providing the experimental data for this study.
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Chung, T.T., Le, NAV. (2021). Damage Detection Using Local Dominant Frequency of Pulse-Echo Laser Ultrasonic Waves. In: Long, B.T., Kim, YH., Ishizaki, K., Toan, N.D., Parinov, I.A., Vu, N.P. (eds) Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). MMMS 2020. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-69610-8_19
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DOI: https://doi.org/10.1007/978-3-030-69610-8_19
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