Damage detection in thick steel beam using lamb waves

Kai Sun, Guang Meng, Fucai Li, Lin Ye, Ye Lu

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
Pages201-207
Number of pages7
Volume2
DOIs
Publication statusPublished - 1 Dec 2008
Externally publishedYes
EventASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008 - Ellicott City, United States of America
Duration: 28 Oct 200830 Oct 2008

Conference

ConferenceASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
CountryUnited States of America
CityEllicott City
Period28/10/0830/10/08

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