Determination of Compressive Strength of Concrete via Artificial Intelligence

Concrete is the most vital composite construction material in industry of construction due to its properties/benefits like compressive strength, flexural strength, low permeability, resistance to fire and many more. Compressive strength is a standout property of concrete that can be determined by destructive/ non-destructive test. Due to non-linear behavior of concrete, its compressive strength is very difficult to predict in design and construction phase. Hence, available statistical and empirical non-destructive methods/techniques are not sufficient in predicting strength of concrete (compression). In this review paper three Artificial Intelligence (AI) models/methods named as Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy Inference (FIS) were analyzed for determination of strength of concrete (compression)