A framework for linear viscoelastic characterization of asphalt mixtures


The master curve of a viscoelastic variable is of significance due to its capability of characterizing the linear viscoelastic (LVE) property in an extended time or frequency range. However, the master curves constructed using the traditional approach fail to strictly comply with the LVE theory, leading to inaccurate predictions in the extended range. In order to address this issue, a framework was developed for the LVE characterization of asphalt mixtures. The generalized logistic sigmoidal model was adopted as the master curve model of storage modulus. A numerical model of loss modulus was established in relation to the continuous relaxation spectrum, whose mathematical model was derived in light of its relationship with the storage modulus. The model parameters determined using the storage modulus and loss modulus test data were employed to construct the master curves of storage modulus, loss modulus, dynamic modulus and phase angle. Then the relaxation modulus master curve was generated by establishing a numerical model. Afterwards, the continuous retardation spectrum was solved numerically based on its relationship with the continuous relaxation spectrum. The master curves of storage compliance, loss compliance and creep compliance were obtained using the corresponding numerical models that were established with respect to the continuous retardation spectrum. The interrelationship among the viscoelastic variables was then employed to obtain the dynamic compliance and phase angle master curves. It was demonstrated that the developed framework ensured the master curves of all viscoelastic variables complied with the LVE theory.

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Correspondence to Hanqi Liu.

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Liu, H., Zeiada, W., Al-Khateeb, G.G. et al. A framework for linear viscoelastic characterization of asphalt mixtures. Mater Struct 53, 32 (2020). https://doi.org/10.1617/s11527-020-01468-x

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  • Asphalt mixture
  • Master curve
  • Continuous relaxation spectrum
  • Continuous retardation spectrum
  • Linear viscoelastic theory
  • Generalized logistic sigmoidal model