Modeling Marshall stability of light asphalt concretes fabricated using expanded clay aggregate with artificial neural networks

MOROVA N., KARAHANÇER Ş., TERZİ S., SALTAN M., Serin S.

International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012, Trabzon, Türkiye, 2 - 04 Temmuz 2012, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/inista.2012.6246946
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: Artificial Neural networks, expanded clay, Lightweight asphalt concrete, Marshall Stability, Prediction
  • Isparta Uygulamalı Bilimler Üniversitesi Adresli: Hayır

Özet

In this study, an Artificial Neural Network (ANN) model has been developed to estimate Marshall Stability (MS) of lightweight asphalt concrete containing expanded clay. In the model, amount of bitumen (%), transition speed of ultrasound (μs), unit weight (gr/cm 3) were used as inputs and Marshall Stability (kg) was used as output. Developed ANN model results and the experimental results were compared and good relationship was found. © 2012 IEEE.