2019
DOI: 10.3390/ma12101667
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Mesostructural Modeling of Dynamic Modulus and Phase Angle Master Curves of Rubber Modified Asphalt Mixture

Abstract: The main objective of this paper was to develop a mesostructure-based finite element model of rubber modified asphalt mixture to predict both the dynamic modulus master curve and phase angle master curve under a large frequency range. The asphalt mixture is considered as a three-phase material consisting of aggregate, asphalt mortar, and air void. The mesostructure of the asphalt mixture was digitized by a computed tomography (CT) scan and implemented into finite element software. The 2S2P1D model was used to … Show more

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Cited by 26 publications
(12 citation statements)
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“…It can be seen from Figure 9 that at a wide range of loading frequencies (10 −3 -10 5 Hz), the dynamic modulus of OGFC is still increasing with the increase in loading frequency. In order to further analyze the variation of the dynamic modulus and phase angle of OGFC with the loading frequency and the influence of test temperature on the dynamic modulus and phase angle of OGFC, the modified Sigmoid model, as shown in Equations ( 23) and (24), is employed to fit the master curve of dynamic modulus and phase angle of OGFC [39,40]. The fitting results are shown in Figure 9 and Table 5.…”
Section: Dynamic Modulus Analysis Based On the Modified Sigmoid Modelmentioning
confidence: 99%
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“…It can be seen from Figure 9 that at a wide range of loading frequencies (10 −3 -10 5 Hz), the dynamic modulus of OGFC is still increasing with the increase in loading frequency. In order to further analyze the variation of the dynamic modulus and phase angle of OGFC with the loading frequency and the influence of test temperature on the dynamic modulus and phase angle of OGFC, the modified Sigmoid model, as shown in Equations ( 23) and (24), is employed to fit the master curve of dynamic modulus and phase angle of OGFC [39,40]. The fitting results are shown in Figure 9 and Table 5.…”
Section: Dynamic Modulus Analysis Based On the Modified Sigmoid Modelmentioning
confidence: 99%
“…From the variation of dynamic modulus of OGFC with loading frequency and the fitting results in Table 5, it can be found that under the higher or lower loading frequency, the dynamic modulus of OGFC tends to converge, converging to glass modulus at high frequency and static modulus at low frequency. Moreover, from the fitting results, it can be observed that the glass modulus max G or static modulus min G , at the In order to further analyze the variation of the dynamic modulus and phase angle of OGFC with the loading frequency and the influence of test temperature on the dynamic modulus and phase angle of OGFC, the modified Sigmoid model, as shown in Equations ( 23) and (24), is employed to fit the master curve of dynamic modulus and phase angle of OGFC [39,40]. The fitting results are shown in Figure 9 and Table 5.…”
Section: Dynamic Modulus Analysis Based On the Modified Sigmoid Modelmentioning
confidence: 99%
“…There are some results comparing the viscoelastic functions constructed from the discrete and continuous spectrum. Gu [ 26 ] used the discrete spectrum of the 2S2P1D model to obtain the viscoelastic information of a fine aggregate matrix to construct discrete element models. Yu [ 27 ] used the generalized sigmoidal model (GSM) and Havriliak-Negami model (HNM) to construct master curve models and then compared the differences between the discrete and continuous spectra constructed by the different models.…”
Section: Introductionmentioning
confidence: 99%
“…In traditional structural pavement design, most attention went to the empirical values of material properties in order to design the pavement for certain traffic and climate conditions. However, nowadays, there is a huge interest in understanding the fundamental mechanical properties of asphalt mixtures [1,2] to design optimized roads with longer service life and lower maintenance costs [3]. The first step to accomplish this is to have a good understanding of the mechanical properties of asphalt mixtures.…”
Section: Introductionmentioning
confidence: 99%