@article {Birt:2008:1354-2575:493,
title = "An investigation to determine the location of fatigue crack initiation sites from ultrasonic images of corrosion",
journal = "Insight - Non-Destructive Testing and Condition Monitoring",
parent_itemid = "infobike://bindt/insight",
publishercode ="bindt",
year = "2008",
volume = "50",
number = "9",
publication date ="2008-09-01T00:00:00",
pages = "493-497",
itemtype = "ARTICLE",
issn = "1354-2575",
url = "https://www.ingentaconnect.com/content/bindt/insight/2008/00000050/00000009/art00008",
doi = "doi:10.1784/insi.2008.50.9.493",
author = "Birt, E A and Nelson, L J",
abstract = "Future corrosion control management on aircraft is planning to move from a Find-and-Fix approach to an Identify-and-Manage approach. Central to this change is the development of suitable life-prediction models that can be used to predict the effects of corrosion on structural integrity.
This new approach requires NDE methods that can detect, characterise and monitor the corrosion damage. If the corrosion pit initiating the fatigue crack which leads to failure can be reliably identified in advance, existing life-prediction models can be employed for life prediction by using
the dimensions of the corrosion pit as the initial flaw. This study has analysed 50 MHz ultrasonic amplitude C-scan images of pitting and crevice corrosion specimens to determine a parameter whose location in the image correlates with the point of failure of the specimen. Texture analysis
was applied to ultrasonic amplitude images of corrosion using three texture filters, namely range, standard deviation and entropy. In addition, Laplacian filtering was applied to the images. The parameters of the filtered images chosen to correlate with the location of the point of failure
were maximum range, maximum standard deviation, maximum entropy and maximum and minimum Laplacian values. It was found that the location of these parameters did not consistently coincide with the location of the corrosion pit that initiated failure.",
}