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Computers and Concrete Volume 20, Number 2, August 2017 , pages 247-255 DOI: https://doi.org/10.12989/cac.2017.20.2.247 |
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Mechanical properties of blended cements at elevated temperatures predicted using a fuzzy logic model |
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Ahmet Beycioğlu, Adil Gültekin, Hüseyin Yilmaz Aruntaş, Osman Gencel, Magdalena Dobiszewska and Witold Brostow
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| Abstract | ||
| This study aimed to develop a Rule Based Mamdani Type Fuzzy Logic (RBMFL) model to predict the flexural strengths and compressive strengths of blended cements under elevated temperatures. Clinoptilolite was used as cement substitution material in the experimental stage. Substitution ratios in the cement mortar mix designs were selected as 0% (reference), 5%, 10%, 15% and 20%. The data used in the modeling process were obtained experimentally, after mortar specimens having reached the age of 90 days and exposed to 300C, 400C, 500C temperatures for 3 hours. In the RBMFL model, temperature (C) and substitution ratio of clinoptilolite (%) were inputs while the compressive strengths and flexural strengths of mortars were outputs. Results were compared by using some statistical methods. Statistical comparison results showed that rule based Mamdani type fuzzy logic can be an alternative approach for the evaluation of the mechanical properties of concrete under elevated temperature. | ||
| Key Words | ||
| blended cement; clinoptilolite; compressive strength; flexural strength; rule based fuzzy logic | ||
| Address | ||
| Ahmet Beycioğlu and Adil Gültekin: Department of Civil Engineering, Technology Faculty, Düzce University, Düzce, Turkey Hüseyin Yilmaz Aruntaş: Department of Civil Engineering, Technology Faculty, Gazi University, Beşevler, 06500 Ankara, Turkey Osman Gencel: Department of Civil Engineering, Faculty of Engineering, Bartin University, Bartin 74100, Turkey Magdalena Dobiszewska: Department of Civil Engineering, Faculty of Civil and Environmental Engineering and Architecture, UTP University of Sciences and Technology, Bydgoszcz, Poland Witold Brostow: Laboratory of Advanced Polymers and Optimized Materials (LAPOM), Department of Materials Science and Eng. and Department of Physics, University of North Texas, 3940 North Elm Street, Denton, TX 76207, USA | ||