Analysis of nonlinear viscoelastic properties of asphalt mixtures

Chien Wei Huang*, Eyad Masad, Anastasia H. Muliana, Hussain Bahia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This study presents characterization of the nonlinear viscoelastic behavior of hot mix asphalt (HMA) at different temperatures and strain levels using the Schapery nonlinear viscoelastic model. This model is employed to describe experimental measurements of two asphalt mixes under several combined temperatures and strain levels. The master curve is created for each strain level using time temperature superposition principle (TTSP) with a reference temperature of 40°C. The measurements at strain levels higher than 0.01% are used to determine the nonlinear viscoelastic parameters in the model. The FE model with the calibrated time-dependent and nonlinear material parameters is used to simulate the creep experimental tests, and good predictions are shown. Copyright ASCE 2007.

Original languageEnglish
Title of host publicationAnalysis of Asphalt Pavement Materials and Systems
Subtitle of host publicationEmerging Methods
Pages64-72
Number of pages9
Edition176
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventSymposium on Mechanics of Flexible Pavements at the 15th U.S. National Congress of Theoretical and Applied Mechanics - Boulder, CO, United States
Duration: 25 Jun 200630 Jun 2006

Publication series

NameGeotechnical Special Publication
Number176
ISSN (Print)0895-0563

Conference

ConferenceSymposium on Mechanics of Flexible Pavements at the 15th U.S. National Congress of Theoretical and Applied Mechanics
Country/TerritoryUnited States
CityBoulder, CO
Period25/06/0630/06/06

Keywords

  • Finite element
  • Hot mix asphalt
  • Nonlinear viscoelasticity
  • Schapery theory

Fingerprint

Dive into the research topics of 'Analysis of nonlinear viscoelastic properties of asphalt mixtures'. Together they form a unique fingerprint.

Cite this