Modeling of material mixer rates and concrete pressure resistance of steel fiber concrete by using fuzzy logic

Today, technology develops swiftly. The technology that advances fast is supported by the fuzzy logic. That fuzzy logic's application area is very wide and produces successful results in most practices manages to draw attentions about the procedure. The fuzzy logic presents us usage of all information which is unclear. Fuzzy logic processing using human language is very convenient for the use of systems which are very difficult to obtain with mathematical model. Applications of the fuzzy logic in the area of construction engineering has gradually increased. In this study which we created with smart systems, ability of the solution is developed based on changing problems. According to changing materials and its quantity, the progress is accelerated with estimating the endurance of concrete mix and using the smart systems without waste of time and material in construction sector. In this application, which is developed using fuzzy logic, the concrete strength of concrete mix is predicted.Consistency of concrete, compressive strength of concrete, size of max aggregate and min aggregate, steel fiber volume fraction, length of steel fiber and diameter of steel fiber are inputs of our experimental group. And, cement content, quantity of water, coarse aggregate and content of fine aggregate are used as outputs. The impacts of stated inputs on each output are studied and which substance affects which output variable is determined by trying one by one. It was observed that the results predicted by fuzzy logic could be close to the experimental results. Fuzzy logic has succeeded in predicting the output of the system. When comparing the result, it emerges that fuzzy logic has grand potential for estimation about compressive strength of concrete.