Abstract:
This study presents the potential of Genetic Expression Programming (GEP)
computing paradigm to forecast the Marshall Stability of steel fiber reinforced asphalt
concrete and has various mix proportions has been developed. Experimental details were
used to construct the model. The steel fiber content (0%, 0.25%, 0.50%, 0.75%, 1.0%,
1.5%, 2.0% and 2.5%), percentage of bitumen (5%, 5.5% and 6.0%) and unit weights
(2,465-2,515 (gr/cm3)) was used as input variables and Marshall Stability (kg) values
were used as output variables. The performance of models was comprehensively judged
using several statistical verification tools. Results have shown that developed GEP
model has a strong potential for predicting the Marshall Stability of asphalt concrete
without performing any experimental studies.
