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Data-driven underwater surface crack depth detection method

delete2025-06-12
delete0
PRE
AI
G
Guofu Hu
S
Shouyan Jiang
E
Ean Tat Ooi
W
Wenhu Zhao
杜
杜成斌 (Chengbin Du)
DOI：10.1016/j.enganabound.2025.106346delete
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Abstract

Abstract

En 中文
• A new data-driven algorithm is introduced, combining SBFEM, XFEM, and deep learning techniques, to accurately identify the depth of underwater surface cracks. • A novel method is proposed for wave propagation modeling in a fluid-structure-crack coupling system. • The SBFEM is employed to handle the boundaries of infinite fluid and solid domains, effectively absorbing wave reflections and minimizing interference. • A sufficient number of samples can be efficiently generated for neural network training without the need for remeshing.

Journal

Engineering Analysis with Boundary Elements cover
Engineering Analysis with Boundary Elements
IF:
4.1
Papers:
5.8K
Citations:
9.4K

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No organization information available