Application of Artificial Intelligence in Corrosion Research, Part II: Corrosion of Steel

Steel corrosion presents a significant challenge to the durability and safety of infrastructure worldwide, with profound economic and safety implications. Traditional methods for corrosion detection and prediction often fall short in terms of accuracy, efficiency, and scalability, necessitating the exploration of advanced technologies such as artificial intelligence (AI). This paper provides a comprehensive review of AI applications in steel corrosion research from 2010 to 2024, focusing on detection and prediction methodologies. The review covers AI-driven techniques, analyzing their strengths, limitations, and areas requiring further research. By synthesizing current knowledge, this paper aims to guide future research directions and facilitate the development of robust and reliable corrosion management systems. The integration of AI with traditional methods offers transformative potential, enhancing the accuracy and efficiency of corrosion monitoring and prediction. This paper contributes to the broader goal of improving the safety, durability, and sustainability of steel structures in diverse environmental conditions.