4.7 Article

Viscoelastic characterization of aged asphalt mastics using typical performance grading tests and rheological-micromechanical models

Journal

CONSTRUCTION AND BUILDING MATERIALS
Volume 188, Issue -, Pages 88-100

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2018.08.043

Keywords

Viscoelastic characteristics; Micromechanical models; Aging; Asphalt mastic; Recycled asphalt; Performance grading; Master curve

Ask authors/readers for more resources

The performance grading (PG) tests use aged asphalt specimens to simulate the in situ performance of asphalt binder. The main purpose of this study is to examine the existing micromechanical models, such as the inverse rule of mixtures, Hashin-Shtrikman, generalized self-consistent scheme (GSCS), and 4-phase, to determine the dynamic shear modulus of aged asphalt mastics. The Wicket and the vGP (van Gurp-Palmen) plots were advisable tools for checking the PG test results consistency and Time Temperature superposition principle validation on three different asphalt mastics. The generalized logistic sigmoidal model (GLSM) yielded well-fitted master curves of modulus and phase angle based on the models' predictions for full linear viscoelastic (LVE) characterization. The 4-phase model had the best modulus predictability even better than the well-known 2S2P1D (2 Spring-2 Parabolic element-1 Dashpot) model that followed by the inverse rule of mixtures, Hashin-Shtrikman, and GSCS models. All of the models had an excellent phase angle predictability that was comparable with 2S2P1D model predictions. It is recommended to combine the typical PG tests of asphalts, a well-defined micromechanical model like 4-phase, and a well-known rheological master curve model such as GLSM for estimating the LVE properties of asphalt mastics promisingly. (C) 2018 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available