Perspectives on the Application of Artificial Intelligence in Investigating Corrosion Mechanisms of Steel and Designing Corrosion‐resistant Alloys

View at publisher
Authors: Chao Liu, Bingqin Wang, Xiaogang Li, Shasha Zhang, Zhong Li
Cited by: 0

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