Modelling the Effects of Hydrated Lime Additives on Asphalt Mixtures by Fuzzy Logic and ANN

Authors : Mustafa Sinan YARDIM, Betül DEĞER ŞİTİLBAY, Selim DÜNDAR

Pages : 9533-9559

Doi:10.18400/tekderg.402816

View : 9 | Download : 3

Publication Date : 2019-11-01

Article Type : Research Paper

Abstract :In this study, Marshall test results of hot mix asphalt samples having various Hydrated Lime insert ignore into journalissuearticles values(HL); content rates were modelled using Fuzzy Logic insert ignore into journalissuearticles values(FL); and Artificial Neural Networks insert ignore into journalissuearticles values(ANN);. Test sets having various HL content were prepared in order to investigate the effect of HL. Marshall Stability test was performed on the samples to obtain the optimal Asphalt Content insert ignore into journalissuearticles values(AC); ratio. The results were evaluated in order to determine HL additives’ sensitivity on the mixture parameters. The Marshall Test results were used to develop the FL and ANN models. The models developed produced acceptable estimations of the mixture parameters.
Keywords : Hot mix asphalt, hydrated lime, marshall mix design, fuzzy logic, artificial neural networks