journal article·2010-02

Damage Identification in Thick Steel Beam Based on Guided Ultrasonic Waves

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

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Abstract

Most current studies of guided-wave-based damage detection have been conducted on thin plate-like structures. This article presents a study of damage identification based on activated ultrasonic waves in a thick steel beam. The diagnosis procedure, with key parameters such as excitation frequency and cycle number of the diagnostic waveform, is elaborated in relation to beam dimension as well as pulse-echo/pitch-catch configurations of PZT active sensors attached to the beam. Finite element simulation was conducted to characterize wave propagation in the beam, and the signals of wave propagation were experimentally measured; the results show good agreement with outcomes of the simulation. To aid damage identification, the group velocity of the guided wave was calculated using the envelope of the signal, which was obtained by Hilbert transform. The results for damage location and severity assessment demonstrate that the guided-wave-based damage identification approach can also be applied to certain thick structures for the purpose of structural health monitoring.
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Research context

OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Non-Destructive Testing Techniques · Geophysical Methods and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China,

State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China

Laboratory of Smart Materials and Structures (LSMS), Centre for Advanced Materials Technology (CAMT) School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, NSW 2006, Australia

State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China, Laboratory of Smart Materials and Structures (LSMS), Centre for Advanced Materials Technology (CAMT) School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, NSW 2006, Australia

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