Corrosion fatigue life prediction of multiple austenitic stainless steel grades in high-temperature, high-pressure water environments using a GA-optimized neural network
Abstract Predicting the corrosion fatigue life of austenitic stainless steel (AusSS) in high-temperature, high-pressure water environments remains a complex task due to the intricate interaction of thermal, mechanical, and environmental factors, along with the scarcity of comprehensive experimental...
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| Main Authors: | , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Nature Portfolio
2025-11-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-23240-3 |
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