A new short-term aging model for asphalt binders based on rheological activation energy

被引:0
作者
Derun Zhang
Bjorn Birgisson
Xue Luo
Ibrahim Onifade
机构
[1] Texas A&M University,Zachry Department of Civil Engineering
[2] Zhejiang University,College of Civil Engineering and Architecture
来源
Materials and Structures | 2019年 / 52卷
关键词
Short-term aging; Viscosity; Rheological activation energy; Asphalt binder;
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学科分类号
摘要
Short-term aging of asphalt binders is an inevitable phenomenon during mix production and laydown that significantly affects the rheological properties of asphalt binders and further contributes to the deterioration of pavement performance. This paper presents a new short-term aging model for asphalt binders. The new model focuses on the binder viscosity as the target property and incorporates the rheological activation energy for the model development. It consists of four model coefficients and two essential binder specific inputs (i.e. viscosity and rheological activation energy of the unaged asphalt binder). The rheological activation energy is calculated from the conventional properties of unaged asphalt binders like penetration, kinematic viscosity, and absolute viscosity measured at various temperatures or from the known Viscosity Temperature Susceptibility parameters (i.e. “A-VTS” values) of unaged asphalt binders. The global model coefficients are determined using data extracted from the long-term pavement performance database. The short-term aging is verified to increase the rheological activation energy of the asphalt binder to a certain amount which is linearly proportional to that of the unaged binder. It is also found that the new model delivers more accurate viscosity prediction capabilities over the existing binder aging model. The new model is then validated through data collected from multiple independent data sources. The validation results indicate that the new model provides fairly accurate predictions in both laboratory and field short-term aging. Thus, it can be concluded that the new model is a good candidate for the short-term aging prediction.
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