ABSTRACT
Reclaimed asphalt binder blending involves a lot of mixture variables and experimentation. The objective of this study is to adopt statistical experimental design framework to design a ternary mixture consisting of Reclaimed Asphalt Pavement (RAP) binder, vacuum tower bottom (VTB) and rejuvenator to meet target steady shear viscosity, Performance Grade (PG) pass/fail temperature and softening point of a typical Viscosity Grade 30(VG30) binder. I-Optimal design algorithm is used to design the experimental matrix. Response prediction models are developed for steady shear viscosity, high temperature performance grade (PG) (pass/fail) and softening point based on the measurements carried out on the prepared blends. From the predicted response models, the possible RAP binder blend space which yield target responses is identified.
