Wave Frequency Effects on Damage Imaging in Adhesive Joints Using Lamb Waves and RMS - Publication - Bridge of Knowledge

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Wave Frequency Effects on Damage Imaging in Adhesive Joints Using Lamb Waves and RMS

Abstract

Structural adhesive joints have numerous applications in many fields of industry. The gradual deterioration of adhesive material over time causes a possibility of unexpected failure and the need for non-destructive testing of existing joints. The Lamb wave propagation method is one of the most promising techniques for the damage identification of such connections. The aim of this study was experimental and numerical research on the effects of the wave frequency on damage identification in a single-lap adhesive joint of steel plates. The ultrasonic waves were excited at one point of an analyzed specimen and then measured in a certain area of the joint. The recorded wave velocity signals were processed by the way of a root mean square (RMS) calculation, giving the actual position and geometry of defects. In addition to the visual assessment of damage maps, a statistical analysis was conducted. The influence of an excitation frequency value on the obtained visualizations was considered experimentally and numerically in the wide range for a single defect. Supplementary finite element method (FEM) calculations were performed for three additional damage variants. The results revealed some limitations of the proposed method. The main conclusion was that the effectiveness of measurements strongly depends on the chosen wave frequency value.

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Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
Materials no. 12, pages 1 - 18,
ISSN: 1996-1944
Language:
English
Publication year:
2019
Bibliographic description:
Wojtczak E., Rucka M.: Wave Frequency Effects on Damage Imaging in Adhesive Joints Using Lamb Waves and RMS// Materials. -Vol. 12, iss. 11 (2019), s.1-18
DOI:
Digital Object Identifier (open in new tab) 10.3390/ma12111842
Sources of funding:
Verified by:
Gdańsk University of Technology

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