Beycioğlu, AhmetGültekin, AdilAruntaş, Hüseyin YılmazGencel, OsmanDobiszewska, MagdalenaBrostow, Witold2020-04-302020-04-3020171598-81981598-818Xhttps://doi.org/10.12989/cac.2017.20.2.247https://hdl.handle.net/20.500.12684/3664WOS: 000409993600012This 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 300 degrees C, 400 degrees C, 500 degrees C temperatures for 3 hours. In the RBMFL model, temperature (C degrees) 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.en10.12989/cac.2017.20.2.247info:eu-repo/semantics/closedAccessblended cementclinoptilolitecompressive strengthflexural strengthrule based fuzzy logicArticle202247255WOS:000409993600012Q1Q2