Comparative Study of Prediction of 28 Days Strength Using Fuzzy Logic and Model Tree

Concrete is a construction material which is used in n construction processes as a major stress resistance due to its strength characteristics. Designing a concrete mix is a tough task which includes right proportion of ingredients to be mixed in particular order and in particular environment with the objective to produce concrete mix with specified strength, durability, workability, and as economical as possible. Structural engineering field is full of nonlinear problems. This paper speaks about one of the basic nonlinear problems which is a strength prediction. We have tried to convert the nonlinear problem of strength into a linear problem by using model tree analysis and predicted the strength of various mix proportions using fuzzy logic. The objective of this research work is to study fuzzy logic tool and model tree regression analysis processes for prediction of concrete compressive strength, respectively, and its result comparison. Results of this study states that model tree regression analysis works more efficiently than a fuzzy logic.