Validation of Fuzzy System by Slump and Compressive Strength of Steel Slag Aggregate Concrete

Abstract

Concrete is the most important material used in constructionand is usually a mixture of fine aggregate, coarse aggregate, cement, water and admixtures. Concrete mix design is a process of proportioning the ingredients in right proportions. Using artificial intelligence networks like MATLAB for optimization of concrete ingredient. By which better packing of aggregates to be achieved, will improves the greater strength, modulus of elasticity, creep and shrinkage of concrete. Technique is followed for mix design of concrete that is MATLAB – Fuzzy Logic toolbox used in the present study. Aggregates volume is most important ingredient in concrete for greater strength in hardened stage about 75% of volume is occupied by aggregates. On the other hand utilizing industrial byproducts to reduce environmental degradation and need for aggregate demands. Thus the alternative way is found by replacing steel slag as coarse aggregate in the work. This paper describes the proposed fuzzy system for compressive strength and concrete mix proportioning for two different grades of concrete, i.e., M20 and M30. The comparison between the IS mix proportions with proposed mix design by fuzzy system were made. This paper presented the comparative charts for slump and compressive strength with different grades of concrete.

Keywords:Mix proportioning, MATLAB, Steel slag aggregate, Slump, Compressive strength