Perspectives on the Application of Artificial Intelligence in Investigating Corrosion Mechanisms of Steel and Designing Corrosion‐resistant Alloys
Abstract
Steel corrosion causes massive global economic losses, especially in infrastructure, energy, and marine industries. Bridges, pipelines, and offshore structures degrade due to electrochemical corrosion, leading to high maintenance costs and safety risks. In energy sectors, oil rigs and hydrogen storage face accelerated corrosion, while marine structures suffer from seawater-induced damage, increasing repair expenses and accident risks. Additionally, corrosion generates environmental costs through resource wastage and pollution from traditional anticorrosion methods. Emerging AI and big data technologies offer innovative solutions, enabling predictive maintenance and smart material design to reduce losses and promote sustainable steel use.
Fields of Study & Subjects
Machine Learning in Materials Science
Corrosion Behavior and Inhibition
Material Properties and Failure Mechanisms
Publication details
- Journal / source
- Wiley eBooks
- Pages
- 571–588
- Publication date
- 19 February 2026
- Language
- EN
- Document type
- Book chapter