ABSTRACT
Structural performance of the asphalt pavement can be evaluated through the compressive and flexural moduli. Various predictive moduli models have different independent variables as inputs. In this study, two distinct methodologies were used to calculate the compressive modulus (E*) based on the flexural modulus, temperature, and frequency. The first model involved an analytical approach based on matrix analysis while the second was based on ridge regression. The effects of binder type can be characterized via a component’s transformation matrix. The results of statistical modeling showed a linear relationship between E* and the independent variables. Comparing outputs of statistical modeling and the matrix analysis showed a good relationship with the experimental results of E*. Such methodologies are proposed to improve the current models.
