Method, apparatus, and medium for predicting tensile-compressive fatigue characteristics of a recycled asphaltmixture

Abstract

The present invention discloses a method for predicting the tensile-compressive fatigue characteristics of a recycled asphalt mixture. The method comprises: constructing a target tensile dynamic modulus master curve for a target asphalt mixture; extracting a target tensile effective elasticity ratio from the target tensile dynamic modulus master curve; inputting the target tensile effective elasticity ratio into a pre-established viscoelastic-tensile fatigue curve to generate target tensile fatigue characteristics; constructing a target compressive dynamic modulus master curve for the target asphalt mixture; extracting a target compressive effective elasticity ratio from the target compressive dynamic modulus master curve; and inputting the target compressive effective elasticity ratio into a pre-established first viscoelastic-compressive fatigue curve to generate target compressive fatigue characteristics. By using the present invention, the prediction accuracy of fatigue characteristics can be significantly improved, and the amount and time required for fatigue testing can be reduced.

Dependencies are inferred from the claim text.