Nonlinear viscoelastic approach to model damage-associated performance behavior of asphaltic mixture and pavement structure

Hoki Ban, Soohyok Im, Yong Rak Kim

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

This paper presents an integrated experimental-numerical effort to more accurately model the damage characteristics of asphalt mixtures and pavement structures than conventional elastic and (or) linear viscoelastic approaches can. To this end, Schapery's nonlinear viscoelastic constitutive model was implemented into a finite element software via user defined subroutine (user material, or UMAT) to analyze an asphalt pavement subjected to heavy truck loads. Then, a series of creep and recovery tests were conducted at various stress levels and at different temperatures to obtain the stress-dependent and temperature-sensitive viscoelastic material properties of asphalt mixtures. With the viscoelastic material properties characterized and the UMAT code, a typical pavement structure subjected to repeated heavy truck loads was modeled with the consideration of the effect of material nonlinearity with a realistic tire loading configuration. Three-dimensional finite element simulations of the pavement structure present significant differences between the linear viscoelastic approach and the nonlinear viscoelastic modeling in the prediction of pavement performance with respect to rutting and fatigue cracking. The differences between the two approaches underline the importance of proper and more realistic characterization of pavement materials and should be addressed in the process of performance-based pavement design.

Original languageEnglish (US)
Pages (from-to)313-323
Number of pages11
JournalCanadian journal of civil engineering
Volume40
Issue number4
DOIs
StatePublished - Feb 2013

Keywords

  • Asphalt
  • Damage
  • Finite element method
  • Nonlinear viscoelasticity
  • Pavement
  • Performance modeling

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Environmental Science(all)

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