Computational microstructure modeling to estimate progressive moisture damage behavior of asphaltic paving mixtures

Hoki Ban, Yong Rak Kim, Suk Keun Rhee

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

SUMMARY: This paper presents a computational microstructure model to estimate the progressive moisture damage of multiphase asphaltic paving mixtures. Moisture damage because of water transport is incorporated with mechanical loading through a finite element method. To simulate nonlinear damage evolution in the mixtures, the model includes Fickian moisture diffusion, a cohesive zone model to simulate the gradual fracture process, and a degradation characteristic function to represent the reduction of material properties because of moisture infiltration. With the model developed, various parametric analyses are conducted to investigate how each model parameter affects the material-specific moisture damage mechanism and damage resistance potential of the mixtures. Analysis results clearly demonstrate the significance of physical and mechanical properties of mixture components and geometric characteristics of microstructure for the better design of asphaltic paving mixtures and roadway structures.

Original languageEnglish (US)
Pages (from-to)2005-2020
Number of pages16
JournalInternational Journal for Numerical and Analytical Methods in Geomechanics
Volume37
Issue number13
DOIs
StatePublished - Sep 2013

Keywords

  • Asphalt paving mixtures
  • Cohesive zone
  • Finite element method
  • Microstructure modeling
  • Moisture damage

ASJC Scopus subject areas

  • Computational Mechanics
  • Materials Science(all)
  • Geotechnical Engineering and Engineering Geology
  • Mechanics of Materials

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