Numerical fracture analysis on the specimen size dependency of asphalt concrete using a cohesive softening model

Hyunwook Kim, Michael P. Wagoner, William G. Buttlar

Research output: Contribution to journalArticlepeer-review

Abstract

Cracking in asphalt concrete is one of the major causes of structural and functional deterioration of pavement systems. Various experimental and numerical approaches with typical specimen size have been applied to analyze the fracture mechanism of asphalt concrete but the specimen size dependency on the fracture has an important role. Herein, the clustered discrete element method (DEM) approach was applied into the investigation of size effect on fracturing of asphalt concrete based on a disk-shaped compact tension (DC(T)) test. A bilinear cohesive softening model was implemented into the DEM framework to enable simulation of crack initiation and propagation in asphalt concrete. The laboratory tests were conducted for specimen sizes of asphalt concrete varying from 100 to 450 mm. Micromechanical fracture modeling approach was also applied to investigate the heterogeneous fracture behaviors for different specimen sizes. Image processing procedure was conducted to determine the microstructure of asphalt specimen and to project it into the numerical mesh. The specimen size dependency of asphalt concrete was captured by the developed experimental fracture test and the clustered DEM fracture model was able to accurately predict the size-dependent fracture behavior when considering viscoelasticity and heterogeneity.

Original languageEnglish (US)
Pages (from-to)2112-2120
Number of pages9
JournalConstruction and Building Materials
Volume23
Issue number5
DOIs
StatePublished - May 2009
Externally publishedYes

Keywords

  • Asphalt concrete
  • Cracking
  • Discrete element method
  • Disk-shaped compact tension
  • Fracture
  • Heterogeneous
  • Image processing
  • Size effect

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • General Materials Science

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