Abstract
In this study, an innovative methodology is proposed to characterize the short-term aging of asphalt binders using the matrix analysis method. The rotational viscosity and complex shear modulus of asphalt binders were chosen as target rheological properties for the analysis of aging. A set of square matrices was developed based on test temperatures and the synthetic additive wax content. Transformational short-term aging matrices were obtained that characterize the trend of the aging process as a function of binder type, temperature sweep, and additive percentage. The results of the matrix analysis show that the trend of short-term aging depends on the binder performance grade and the rheological characteristic chosen for the analysis of aging. In addition, transformational aging matrices can provide detailed information about the range of the aging rate and the trend in aging for each binder type. Furthermore, the components of the transformational matrices clearly show the sensitivity of the binders to aging. In conclusion, the matrix analysis of aging can be used to compare the effects of short-term aging of different asphalt binders.
Highlights
Short-term aging of asphalt binders is a physico-chemical reaction that occurs during the mixing of aggregate particles and hot asphalt binders in mixing facilities, transportation, and construction
The thin-film oven test (TFOT), rolling thin-film oven test (RTFOT), rotating flask test, shell microfilm test, rolling microfilm test, tilt oven durability test, thin-film accelerated aging test, and modified RTFOT are experimental methodologies developed based on extended heat procedures [1,2]
The transformational aging matrices showed that the short-term aging processes have different effects on the trends of components, depending on the binder type, Sasobit content, and test temperature
Summary
Short-term aging of asphalt binders is a physico-chemical reaction that occurs during the mixing of aggregate particles and hot asphalt binders in mixing facilities, transportation, and construction. There are various procedures to simulate the complex mechanisms for the short-term aging of asphalt binders. Sustainability 2021, 13, 5784 term aging on the rheological properties of binders and the performance of mixtures. Omranian et al [16] proposed a model-based artificial neural network to choose proposed a model-based artificial neural network to choose binder types based on the rheobinder types based on the rheological properties of short-term aged binders. How these changes happen in the chosen rheological properties (short-term aging pro- be AI values are measured at each test temperature separately, while it would cess).realistic. Characterizing the interaction between the effect the binder type and the asphalt modifier content during the short-term agingofprocess.
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