Development of a Predictive Model for Concrete Durability

Concrete durability is a critical factor in the longevity and safety of concrete structures, influencing both their maintenance costs and environmental impact. Predicting concrete durability is essential for ensuring structural integrity, reducing maintenance costs, and increasing the overall lifespan of concrete structures. This paper presents the development of a predictive model for assessing concrete durability using machine learning algorithms. The model incorporates various factors such as mix design, environmental exposure, curing conditions, and material properties to predict the durability performance of concrete. By utilizing historical data and advanced computational techniques, the model provides accurate predictions on how concrete will perform over time under different exposure conditions. The results show that the predictive model can be a valuable tool for engineers to make informed decisions on material selection, mix design, and maintenance planning, thus improving the sustainability and reliability of concrete structures.