Predictive Model for Nonlinear Resilient Modulus of Emulsified Asphalt Treated Base

Emulsified asphalt treated base (EATB) is a cold mixture of emulsified asphalt (emulsion) and granular material. The resilient modulus (M_R) of EATB is an essential parameter for both material evaluation and pavement design. Triaxial tests can be used to measure M_R and capture its nonlinear property affected by the stress state. However, such complicated test is not available for most routine practices. In this study, triaxial tests were conducted to measure M_R of EATB at different stress states. The effects of influencing factors, such as residual binder contents, aggregate property, dry density and temperature, on resilient property of EATB were also investigated. The nonlinear predictive models were further developed based on the modified universal soil model and all factors and interactions among them were incorporated.