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http://dx.doi.org/10.12989/cac.2012.9.5.389

Prediction of elastic modulus of steel-fiber reinforced concrete (SFRC) using fuzzy logic  

Gencoglu, Mustafa (Istanbul Technical University, Faculty of Civil Engineering, Division of Structural Engineering)
Uygunoglu, Tayfun (Afyon Kocatepe University, Engineering Faculty, Civil Engineering Department)
Demir, Fuat (Suleyman Demirel University, Engineering Faculty, Civil Engineering Department)
Guler, Kadir (Istanbul Technical University, Faculty of Civil Engineering, Division of Structural Engineering)
Publication Information
Computers and Concrete / v.9, no.5, 2012 , pp. 389-402 More about this Journal
Abstract
In this study, the modulus of elasticity of low, normal and high strength steel fiber reinforced concrete has been predicted by developing a fuzzy logic model. The fuzzy models were formed as simple rules using only linguistic variables. A fuzzy logic algorithm was devised for estimating the elastic modulus of SFRC from compressive strength. Fibers used in all of the mixes were made of steel, and they were in different volume fractions and aspect ratios. Fiber volume fractions of the concrete mixtures have changed between 0.25%-6%. The results of the proposed approach in this study were compared with the results of equations in standards and codes for elastic modulus of SFRC. Error estimation was also carried out for each approach. In the study, the lowest error deviation was obtained in proposed fuzzy logic approach. The fuzzy logic approach was rather useful to quickly and easily predict the elastic modulus of SFRC.
Keywords
steel-fiber reinforced concrete; compressive strength; elastic modulus; fuzzy logic; modelling;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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