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contributor authorGansel, René
contributor authorMaier, Hans Jürgen
contributor authorBarton, Sebastian
date accessioned2023-11-29T19:32:33Z
date available2023-11-29T19:32:33Z
date copyright12/12/2022 12:00:00 AM
date issued12/12/2022 12:00:00 AM
date issued2022-12-12
identifier issn2572-3901
identifier othernde_6_2_021001.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294848
description abstractA reliable assessment of the actual condition of wind turbines is essential for their continuous operation, or if an extension of their service life is considered. To be able to make valid statements about the condition of the welded structure, an inspection concept for the reliable detection of fatigue cracks and damage on welds of the offshore tower and foundation structures is essential. In the present study, five different eddy current differential sensors were evaluated on cyclically fatigued DY butt welds under tensile load with a focus on the signal-to-noise ratio (SNR). Based on previous evaluations, two sensors were selected for semi-automatic weld testing. It is shown that due to the weld crossing necessary for the detection of fatigue cracks, air coils arranged parallel to the test surface have the highest SNR. This must be contrasted with the potential for crack depth determination. In this context, coils with different arrangements with respect to the test surface were analyzed. It is shown that groove depths can be differentiated based on the imaginary part of the measurement signal for groove depths of up to 8 mm, and actual fatigue cracks in welds with a crack depth of 0.5 mm were detected.
publisherThe American Society of Mechanical Engineers (ASME)
titleDetection and Characterization of Fatigue Cracks in Butt Welds of Offshore Structures Using the Eddy Current Method
typeJournal Paper
journal volume6
journal issue2
journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
identifier doi10.1115/1.4056313
journal fristpage21001-1
journal lastpage21001-8
page8
treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 006 ):;issue: 002
contenttypeFulltext


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