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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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Autors principals: Harsh Kumar Bhardwaj, Mukul Shukla
Format: Artigo
Idioma:Inglês
Publicat: Nature Portfolio 2025-11-01
Col·lecció:Scientific Reports
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Accés en línia:https://doi.org/10.1038/s41598-025-23240-3
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