A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data
Atmospheric corrosion of maritime structures remains one of the most challenging issues facing offshore industry. It is well-known that this process significantly reduces the steel strength leading to structural damage with undesirable consequences. Forecasting atmospheric corrosion levels with prec...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025004979 |
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