Estimation of fracture energy of high-strength steel fibre-reinforced concrete using rule-based Mamdani-type fuzzy inference system

KÖKSAL F., ŞAHİN Y., Beycioglu A., Gencel O., Brostow W.

SCIENCE AND ENGINEERING OF COMPOSITE MATERIALS, cilt.19, sa.4, ss.373-380, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 19 Sayı: 4
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1515/secm-2012-0017
  • Dergi Adı: SCIENCE AND ENGINEERING OF COMPOSITE MATERIALS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.373-380
  • Anahtar Kelimeler: fracture energy, fuzzy logic, modelling, steel fibre-reinforced concrete, ARTIFICIAL NEURAL-NETWORKS, SELF-COMPACTING CONCRETE, MECHANICAL-PROPERTIES, COMPRESSIVE STRENGTH, LOGIC MODEL, PREDICTION, POLYPROPYLENE, TOUGHNESS, DESIGN
  • Yozgat Bozok Üniversitesi Adresli: Evet

Özet

In this study, we worked to estimate the fracture energy of steel fibre-reinforced concrete (SFRC) according to the water/cement ratio (w/c), tensile strength of steel fibre, steel fibre volume fraction and flexural strength of concrete sample as inputs using the Mamdani-type fuzzy inference system (FIS). In the study, the values obtained from the model and experimental divided three groups (each group has six experimental results) according to the w/c ratios to evaluate the fuzzy logic (FL) model approximate reasoning ability. As a result, the Mamdani-type FIS has shown a satisfying relation with the experimental results and suggests an alternative approach to evaluate the fracture energy estimation using related inputs.