Evaluating the linear viscoelastic behavior of asphalt mixtures prepared with RAP and WMA: a comparative analysis of predictive models and additive effects
摘要
This study evaluates the predictive capabilities of the sigmoidal and 2S2P1D models in characterizing the linear viscoelastic (LVE) properties of untraditional asphalt mixtures. Seven asphalt concrete (AC) mixtures with 0%, 15%, 25%, and 45% RAP, with and without Rediset, were tested for complex modulus across various temperatures and frequencies. The 2S2P1D model demonstrated superior accuracy, particularly for RAP and Rediset-modified mixes, validating its applicability for recycled and warm mix applications. Increasing RAP content generally increased dynamic modulus (|E*|), though stiffness reductions at low frequencies were observed, reaching up to 40.7% with Rediset. At higher frequencies, 45% RAP improved stiffness by 5%, while other RAP and warm mixes exhibited reductions up to 11.14%. The black diagram showed smooth continuity, reinforcing time-temperature equivalency. Analysis confirmed that Rediset enhances viscous behavior, aligning with |E*| trends. These findings highlight the potential of recycled asphalt for improved pavement performance and sustainability.