The dataset focuses on steel corrosion data within cementitious materials. It encompasses 46 distinct mortar mixtures embedded with steel bars, with 30 samples undergoing carbonation. Corrosion data were obtained through testing all samples at six relative humidity (RH) levels. All measurements were conducted in a laboratory setting and are stored in spreadsheet format (.xlsx). The dataset includes mixture parameters, material properties, environmental parameters, and electrochemical parameters. This comprehensive dataset offers valuable corrosion data suitable for training machine learning models to predict steel corrosion across various corrosion-related variables.
Funding
Shenzhen-Hong Kong-Macau Technology Research Programme (Type C) 2023 (Project number: SGDX20220530111404028)