Salah U. Al Dulaijan
King Fahd University of Petroleum and Minerals
Service lifeEnsemble forecastingRandom forestMaterials scienceCorrosionPortland cementEnsemble learningAggregate (composite)CementStructural engineering
1Publications
1H-index
3Citations
Publications 1
Newest
#1Babatunde Abiodun Salami (UPM: King Fahd University of Petroleum and Minerals)H-Index: 6
#2Syed M Rahman (UPM: King Fahd University of Petroleum and Minerals)H-Index: 6
Last. Salah U. Al Dulaijan (UPM: King Fahd University of Petroleum and Minerals)H-Index: 1
view all 5 authors...
Abstract Corrosion initiation time of embedded steel is an important service life parameter, which depends on concrete material make-up, exposure environment, and duration of exposure. The determination of corrosion initiation time in the laboratory is arduous due to the activities involving the data gathering process. This study leverages the capability of machine learning (ML) models to estimate corrosion initiation time of embedded steel through corrosion potential measurement. Self-compactin...
7 CitationsSource