Predicting Dynamic Modulus of Asphalt Concrete From Binder Rheological Properties

摘要

This study proposes a completely new regression-based predictive model to estimate dynamic modulus (|E~*|) of asphalt concrete (AC) from the dynamic shear modulus (|G_b~*|) and binder phase angle (δ_b) of the asphalt binder used in the AC mix. Other parameters related to the aggregate gradation and volumetrics are also incorporated in the model. In this study, a total of ten AC mixes with four binders having different Performance Grades (PG) and sources were collected from the manufacturing plants. The AC mixes were compacted and cored to cylindrical specimens. After that, the samples were tested in the laboratory for |E~*| and AC phase angle (φ) at different temperatures and loading frequencies. The collected binders were tested for |G_b~*| and δ_b using dynamic shear rheometer (DSR). The statistical assessment showed that a fairly accurate estimation of |E~*| and φ can be obtained by using these new predictive models.