A Hybrid FEM-CNN for Image-Based Severity Prediction of Corroded Offshore Pipelines
The combination of the Finite Element Method (FEM) with Convolutional Neural Networks (CNNs) presents a key breakthrough in the assessment of the structural integrity of offshore pipelines. The advantage of the standard FEM is in stress visualization, but it is time-consuming due to high computation...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
EDP Sciences
2025-01-01
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| coleção: | E3S Web of Conferences |
| Acesso em linha: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/12/e3sconf_aere2025_04003.pdf |
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