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Proceedings Paper

Experimental investigation of Lamb wave-based edge detection methods
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Paper Abstract

In recent years, many researchers have explored the use of guided ultrasonic waves for nondestructive testing (NDT). When guided waves are transmitted into a structure, any geometric and material discontinuities in the waves’ path modify these waves. Using appropriate signal processing methods for the waves received at a sensor, information about these features can be extracted. However, little research has been conducted to locate the features and automatically generate maps without using a priori knowledge. For NDT of large-scale structures, such as the wings of an airplane, many (automated) measurements need to be conducted, and localization of identified features on a map is crucial for successful damage detection. Hence, in this work, methods to detect edges are investigated in an effort to generate a map of the structure using Lamb waves. Measurements are conducted with contact and air-coupled ultrasound transducers in laboratory experiments. While the used contact transducers do not exhibit any directional sensitivity, air-coupled transducers are only sensitive to incoming waves from one direction. Therefore, different data processing methods have to be applied, depending on the applied actuator or sensor technology. Even though the experiments are conducted for a pristine aluminum plate, an outlook for composite plates is given as well. In addition, it is explored whether guided-wave based methods also allow for the detection of other structural features, such as stiffeners. The accuracy of the applied identification methods is validated against the structures’ true dimensions. Even though substantial assumptions have to be made, the investigated methods show promise for successful application in real scenarios.

Paper Details

Date Published: 1 April 2019
PDF: 11 pages
Proc. SPIE 10972, Health Monitoring of Structural and Biological Systems XIII, 1097223 (1 April 2019); doi: 10.1117/12.2515452
Show Author Affiliations
Christoph Schaal, California State Univ., Northridge (United States)
Univ. of California, Los Angeles (United States)
Matthew Brown, California State Univ., Northridge (United States)
Katja Schulz, California State Univ., Northridge (United States)
Univ. of Applied Sciences and Arts Hannover (Germany)

Published in SPIE Proceedings Vol. 10972:
Health Monitoring of Structural and Biological Systems XIII
Paul Fromme; Zhongqing Su, Editor(s)

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