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    Detection and Characterization of Fatigue Cracks in Butt Welds of Offshore Structures Using the Eddy Current Method

    Source: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 006 ):;issue: 002::page 21001-1
    Author:
    Gansel, René
    ,
    Maier, Hans Jürgen
    ,
    Barton, Sebastian
    DOI: 10.1115/1.4056313
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A 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.
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      Detection and Characterization of Fatigue Cracks in Butt Welds of Offshore Structures Using the Eddy Current Method

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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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