Different from the mostly concerned Lamb wave-based damage detection for thin plates, this paper presents a diagnosis procedure on thick steel beams with thickness of 34 mm. The diagnosis strategy and specimens were first described, and some parameters, such as the frequency and the number of cycles of the diagnostic waveform, were discussed. Based on finite element method (FEM) simulation, the experiment configuration was addressed, results from which show good similarity between the outcomes from the simulations and those from the experiments. Wavelet transform was further used to process the acquired Lamb wave signals for the purpose of damage detection and localization. Meanwhile, the velocity of the Lamb waves was calculated, illustrating that the fundamental anti-symmetric (A0) Lamb wave mode was excited in this case. The results demonstrate that Lamb waves can also be applied to some thick structures for the purpose of structural health monitoring.
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ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
October 28–30, 2008
Ellicott City, Maryland, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-4332-1
PROCEEDINGS PAPER
Damage Detection in Thick Steel Beam Using Lamb Waves
Kai Sun,
Kai Sun
Shanghai Jiao Tong University, Shanghai, China
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Guang Meng,
Guang Meng
Shanghai Jiao Tong University, Shanghai, China
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Fucai Li,
Fucai Li
Shanghai Jiao Tong University, Shanghai, China
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Lin Ye,
Lin Ye
University of Sydney, Sydney, NSW, Australia
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Ye Lu
Ye Lu
University of Sydney, Sydney, NSW, Australia
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Kai Sun
Shanghai Jiao Tong University, Shanghai, China
Guang Meng
Shanghai Jiao Tong University, Shanghai, China
Fucai Li
Shanghai Jiao Tong University, Shanghai, China
Lin Ye
University of Sydney, Sydney, NSW, Australia
Ye Lu
University of Sydney, Sydney, NSW, Australia
Paper No:
SMASIS2008-534, pp. 201-207; 7 pages
Published Online:
July 13, 2009
Citation
Sun, K, Meng, G, Li, F, Ye, L, & Lu, Y. "Damage Detection in Thick Steel Beam Using Lamb Waves." Proceedings of the ASME 2008 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Smart Materials, Adaptive Structures and Intelligent Systems, Volume 2. Ellicott City, Maryland, USA. October 28–30, 2008. pp. 201-207. ASME. https://doi.org/10.1115/SMASIS2008-534
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