Accurate defect characterization is desirable in the ultrasonic nondestructive evaluation as it
can provide quantitative information about the defect type and geometry. For defect …

The elastic-wave scattering at interfaces, such as cracks, is essential for nondestructive
inspections, and hence, understanding the phenomenon is crucial. However, the elastic …

Detection of defects located close to design features such as welds and supports remains a
challenge in guided ultrasonic wave inspection, primarily due to the diffraction limit …

Defects caused by a harsh working environment and cyclic loading may seriously lead to
catastrophic industrial accidents. Therefore, an efficient and accurate detection method is …

This paper investigated the application of deep neural networks and domain adaptation for
ultrasonic characterization of elliptical defects that are small and inclined. Based on …

Image resolution is the key criterion for evaluating ultrasonic imaging quality. However, the
smaller time difference between scattered waves and the mutual occlusion of scatterers …

In this paper, the use of the time-domain scattering matrix for ultrasonic characterization of
defects is explored. An approach based on convolutional sparse coding is proposed for …

Ultrasonic scattering matrices contain rich defect information and have great potential for
characterising small crack-like defects. However, experimentally measured scattering …

The use of scattering matrix and deep neural networks for ultrasonic characterization of
inclined crack-like defects in noisy environments was explored. A distortion model was …

This thesis investigates the capabilities of two laser ultrasonic (LU) non-destructive
evaluation (NDE) techniques to carry out an in-process inspection of additive manufacturing …