• DocumentCode
    3647672
  • Title

    Modeling Marshall Stability of light asphalt concretes fabricated using expanded clay aggregate with Artificial Neural Networks

  • Author

    Nihat Morova;Şebnem Sargin;Serdal Terzi;Mehmet Saltan;Sercan Serin

  • Author_Institution
    Department of Electric and Electronical, Engineering, Department of Civil Engineering, Department of Structural Education, Suleyman Demirel University, 32260 Isparta/Turkey
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    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/cm3) 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.
  • Keywords
    "Artificial neural networks","Asphalt","Thermal stability","Aggregates","Concrete","Stability criteria"
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on
  • Print_ISBN
    978-1-4673-1446-6
  • Type

    conf

  • DOI
    10.1109/INISTA.2012.6246946
  • Filename
    6246946
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3647672