Performance Evaluation of Asphalt Mixtures Containing Different Proportions of Alternative Materials

Meisam Khorshidi (), Ahmad Goli, Marko Orešković, Kamiar Khayambashi and Mahmoud Ameri ()
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Meisam Khorshidi: Department of Civil and Environmental Engineering, University of New Hampshire, Durham, NH 03824, USA
Ahmad Goli: Department of Transportation, University of Isfahan, Isfahan 8174673441, Iran
Marko Orešković: Faculty of Civil Engineering, University of Belgrade, 11000 Belgrade, Serbia
Kamiar Khayambashi: Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, VA 22904, USA
Mahmoud Ameri: Department of Civil Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran

Sustainability, 2023, vol. 15, issue 18, 1-21

Abstract: With the increasing scarcity and cost of virgin materials for asphalt mixtures, the exploration of alternative components has intensified. Reclaimed asphalt pavement (RAP), crumb rubber (CR), steel slag (SS), and waste engine oil (WEO) have emerged as promising alternatives. Individually, RAP enhances rutting resistance but may compromise cracking tolerance; CR boosts cracking resistance; WEO affects cracking and rutting differently; and SS can influence moisture sensitivity. However, their combined impacts on asphalt performance, specifically on moisture damage, rutting, and cracking resistance, remain underexplored. In this study, 44 mixtures were assessed with varying RAP (0–75%), WEO (0–15%), and CR (0–15%) contents, alongside a constant SS aggregate (0% or 20%). The results indicate that specific combinations of these alternative materials can satisfy all performance thresholds for rutting, cracking, and moisture damage. To pinpoint ranges of optimal material contents for different high-traffic scenarios, prediction models were crafted using techniques like feed-forward neural network (FNN), generalized linear model (GLM), support vector regression (SVM), and Gaussian process regression (GPR). Among these, GPR demonstrated superior efficacy, effectively identifying regions of satisfactory performance.

Keywords: balanced mix design; Gaussian process regression; indirect tensile cracking test; dynamic creep test; indirect tensile strength test (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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