Abstract:
In this study, an Adaptive Neural Fuzzy Inference System (ANFIS) model for
predicting the Marshall Stability (MS) of lightweight asphalt concrete containing
expanded clay (EC) and has various mix proportions has been developed.
Experimental details were used to construct the model. The amount of bitumen (%),
transition speed of ultrasound (μs) and unit weight (gr/cm3) 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 asphalt concrete containing expanded clay and has various mix
proportions can be found without performing any experiments.
