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Computers and Concrete
  Volume 9, Number 5, April 2012, pages 389-402
DOI: http://dx.doi.org/10.12989/cac.2012.9.5.389
 


Prediction of elastic modulus of steel-fiber reinforced concrete (SFRC) using fuzzy logic
Mustafa Gencoglu, Tayfun Uygunoglu, Fuat Demir and Kadir Guler

 
Abstract     [Full Text]
    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.
 
Key Words
    steel-fiber reinforced concrete; compressive strength; elastic modulus; fuzzy logic; modelling.
 
Address
Mustafa Gencoglu: Istanbul Technical University, Faculty of Civil Engineering, Division of Structural Engineering,
34469 Maslak, Istanbul, Turkey
Tayfun Uygunoglu: Afyon Kocatepe University, Engineering Faculty, Civil Engineering Department, 03200 Afyonkarahisar, Turkey
Fuat Demir: Suleyman Demirel University, Engineering Faculty, Civil Engineering Department, 32260 Isparta, Turkey
Kadir Guler: Istanbul Technical University, Faculty of Civil Engineering, Division of Structural Engineering,
34469 Maslak, Istanbul, Turkey
 

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