Technical gazette, Vol. 27 No. 4, 2020.
Original scientific paper
https://doi.org/10.17559/TV-20190423195539
Numerical and Experimental Investigation on the Modified of Hot Mix Asphalt Concrete Containing Crumb Rubber and Waste Pet
Mahmoud Ameri
; Iran University of Science and Technology, University St., Hengam St., Resalat Square, Tehran, Iran
Hamid Shaker
; Iran University of Science and Technology, University St., Hengam St., Resalat Square, Tehran, Iran
Baitollah Badarloo
; Department of Civil Engineering, Qom University of Technology (QUT), Qom, Iran
Faezeh Jafari
; Department of Civil Engineering, Malayer University, Malayer 65719-95863, Iran
Abstract
The main objective of this research is to investigate the rutting of modified mixtures with two additives of crumb rubber and polyethylene terephthalate (PET).Therefore, ITS method, resilient modulus and Dynamic creep were used to investigate asphalt behaviour with these two additives in this article. Modified blends include ten blends that are made by combining crumb rubber and polyethylene terephthalate in various percentages. The modifiers are combined in two percent 10% and 15% with 60/70 penetration bitumen. Finally, with these mentioned tests, the results of the ten modified samples along with the non-modified one were compared. The results showed that the addition of polyethylene terephthalate increased the viscosity and reduced the density; therefore, addition of more polyethylene terephthalate in the modifier reduces the flow number and, on the other hand, addition of 15% modifier containing polyethylene terephthalate resilient module increases the flow number by about 66%. Ultimately, neural network method was used to predict the result of dynamic creep test; indirect tensile strength and the capability of neural network method have been
measured to estimate the laboratory result. According to the results, ANFIS can estimate the laboratory data correctly.
Keywords
asphalt mixtures; crumb rubber; dynamic creep; neural network method; polyethylene; resilient modulus
Hrčak ID:
242321
URI
Publication date:
15.8.2020.
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