: Raja Rizwan Hussain๐ชช : DOI:ย 10.5281/zenodo.17809786
๐ : Nexus Global Research Journal of Multidisciplinary; Vol-1. Issue- 5 (Dec 2025): 263-264
INTRODUCTION:
The field of civil engineering has long wrestled with the persistent challenge of steel reinforced concrete (RC) corrosion, a phenomenon that compromises structural integrity, safety, and economic sustainability. Corrosion of steel reinforcement is influenced by a complex interplay of factors, including environmental conditions, concrete quality, chemical composition, and load stresses. Traditional methods of studying and predicting corrosion, such as empirical models and experimental testing, often involve lengthy laboratory procedures and substantial financial investment. In recent years, however, the emergence of Artificial Intelligence (AI) has transformed the landscape of research, offering powerful tools for prediction, monitoring, and mitigation of RC corrosion at a global scale.