Modelling Marshall Stability of fiber reinforced asphalt mixtures with ANFIS

MOROVA N., ERİŞKİN E., TERZİ S., KARAHANÇER Ş., Serin S., SALTAN M., ...Daha Fazla

2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2017, Gdynia, Polonya, 3 - 05 Temmuz 2017, ss.174-179, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/inista.2017.8001152
  • Basıldığı Şehir: Gdynia
  • Basıldığı Ülke: Polonya
  • Sayfa Sayıları: ss.174-179
  • Anahtar Kelimeler: Adaptive Neural Fuzzy Inference System (ANFIS), Asphalt Concrete, Basalt Fiber, Marshall Stability
  • Isparta Uygulamalı Bilimler Üniversitesi Adresli: Hayır

Özet

In this study, an Adaptive Neural Fuzzy Inference System (ANFIS) model for predicting the Marshall Stability (MS) of basalt fiber reinforced asphalt concrete mixtures and various mix proportions has been developed. Experimental details were used to construct the model. The amounts of bitumen (%), Fiber (Basalt) Ratio (%) were used as input variables and Marshall Stability (kg) values were used as output variables. Statistical equations were used to evaluate the Developed ANFIS model. Results showed that developed ANFIS model has strong potential to predict Marshall Stability of asphalt concrete using related inputs in a short time. Also, the Marshall Stability of Fiber-Reinforced asphalt concrete and various mix proportions can be found without performing any experiments.