Correlation Analyses for Implementation of Binder Properties for Rut Potential Estimation of Asphalt Mixtures

摘要

This study examined the relationship of three binder properties with three permanent deformation (rut) test data. The three binder properties include the stiffness (G~* /sin 8) measured by dynamic shear rheometer, the large molecular size (LMS) ratio, measured by gel-permeation chromatography, and the absolute viscosity. The three rut tests at 60°C include the wheel tracking (WT), asphalt pavement analyzer (APA), and deformation strength (SD) tests on 28 hot-mix asphalt mixtures (two aggregates, two gradations and seven binders). The regression analyses showed the two binder properties (G /sin 8 and LMS) had very high correlation (R~2 >0.81) with the rut depth values of WT and APA, and with SD values. This is an indication that G /sin 8 and LMS are reliable properties that provide a reasonable estimation of the rut potential of asphalt mixtures. Prediction models for rut estimation were developed by multiple regression using binder properties and aggregate information. The predicted rut data were well fit (R~2 >0.92) to the measured rut data. Therefore, it was found that the two binder properties could be reliably used for the estimation of the rut potential of asphalt mixtures.