Mechanical properties of blended cements at elevated temperatures predicted using a fuzzy logic model

Beycioglu A., Gultekin A., ARUNTAŞ H. Y., GENÇEL O., Dobiszewska M., Brostow W.

COMPUTERS AND CONCRETE, cilt.20, sa.2, ss.247-255, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 20 Sayı: 2
  • Basım Tarihi: 2017
  • Doi Numarası: 10.12989/cac.2017.20.2.247
  • Dergi Adı: COMPUTERS AND CONCRETE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.247-255
  • Anahtar Kelimeler: blended cement, clinoptilolite, compressive strength, flexural strength, rule based fuzzy logic, CONCRETE, STRENGTH, BASALT, WASTE
  • Gazi Üniversitesi Adresli: Evet

Özet

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 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.