scholarly journals Imaging of Increasing Damage in Steel Plates Using Lamb Waves and Ultrasound Computed Tomography

Materials ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5114
Author(s):  
Monika Zielińska ◽  
Magdalena Rucka

This paper concerns the inspection of steel plates, with particular emphasis on the assessment of increasing damage. Non-destructive tests were performed on four plates, one of which was undamaged, while the remaining three had defects in the form of circular holes with diameters of 2, 5 and 10 cm. Guided Lamb waves were used in the research, and the image reconstruction was performed using ultrasound computed tomography. The damage size was estimated by tracking the real course of rays and densifying the pixel grid into which the object was divided. The results showed the great potential of ultrasound tomography in detecting defects in steel elements, together with the possibility of estimating damage size.

Author(s):  
Mailyn Perez-Liva ◽  
Joaquin L. Herraiz ◽  
Luis Medina-Valdes ◽  
Jorge Camacho ◽  
Carlos Fritsch ◽  
...  

2006 ◽  
Vol 321-323 ◽  
pp. 146-151 ◽  
Author(s):  
Yong Rae Roh ◽  
Don Young Kim ◽  
Seung Han Yang ◽  
Seung Hee Park ◽  
Chung Bang Yun

This paper presents a non-destructive evaluation (NDE) technique for detecting damages on a jointed steel plate on the basis of the time of flight and wavelet coefficient, obtained from wavelet transforms of Lamb wave signals. Probabilistic neural networks (PNNs) and support vector machines (SVMs) were applied for pattern classification. In this study, the applicability of the PNNs and SVMs was investigated for the damages in and out of the Lamb wave path. It has been found that the present methods are very efficient in detecting the damages simulated by the loose bolts on the jointed steel plate.


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