Prediction with Fuzzy Logic Approach of Compressive Strength of Concrete Containing of Normal and Crushed Stone Aggregates

Abstract

This study assays the detection of concrete compressive strength values using Fuzzy Logic (FL) in comparison with the compressive strength
values obtained from TUBITAK-supported research which measured compressive strength values of concrete at specific curing periods and
produced with various mixes. The detection of the compressive strength of formed concrete is a time-consuming process. Especially when
mixture values are considered, a large number of alternatives must be considered. Therefore, the determination of the proportions and quantities
of materials in a mixture and the effects of these on concrete strength are significant concerns in the fields of civil engineering and architecture.
In practice, compressive strength has generally been measured by breaking concrete formed using alternative mixtures produced via aggregates
taken from different places at the end of 3, 7, 14, 28, 56 and 90 days. It is now possible, however, to undertake these time-consuming and difficult tasks by means of computer science. To this end, a model is suggested to obtain compressive strength values via a fuzzy logic approach,
and the compressive strength value results of that approach are compared to the laboratory results from the TUBITAK study, with the result
that the data obtained via FL are shown to overlap the existing data.