Improving the Sustainability of Asphalt Pavements through Developing a Predictive Model with Fundamental Material Properties

This study presents the numerical implementation and validation of general constitutive relationships for describing the nonlinear behavior of asphalt concrete mixes. These constitutive relationships incorporate nonlinear viscoelasticity and viscoplasticity to predict the recoverable and irrecoverable responses, respectively. The nonlinear viscoelastic deformation is modeled using Schapery’s model; while the irrecoverable component is represented using Perzyna’s viscoplasticity theory with an extended Drucker-Prager yield surface and plastic potential that is modified to capture the distinction between the compressive and extension behavior of asphalt mixes. The nonlinear viscoelastic and viscoplastic model is represented in a numerical formulation and implemented in a finite element (FE) code using a recursive-iterative algorithm for nonlinear viscoelasticity and the radial return algorithm for viscoplasticity. Then, the model is used to analyze the nonlinear viscoelastic and viscoplastic behavior of asphalt mixtures subjected to single creep recovery tests at different stress levels and temperatures. This experimental analysis includes the separation of the viscoelastic and viscoplastic strain components. Based on this separation, a systematic procedure is presented for the identification of the material parameters associated with the nonlinear viscoelastic and viscoplastic constitutive equations. Finally, the model is applied and verified against a set of creep-recovery tests on hot mix asphalt at different stress levels and temperatures.


  • English

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: 59p

Subject/Index Terms

Filing Info

  • Accession Number: 01151292
  • Record Type: Publication
  • Report/Paper Numbers: SWUTC/09/476660-00007-1
  • Contract Numbers: DTRT07-G-0006 (Grant)
  • Files: UTC, TRIS
  • Created Date: Feb 19 2010 11:56AM