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
fDate :
7/1/2012 12:00:00 AM
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"
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on
Print_ISBN :
978-1-4673-1446-6
DOI :
10.1109/INISTA.2012.6246946
