TY - JOUR
T1 - Three-dimensional microstructural modeling of asphalt concrete by use of X-ray computed tomography
AU - You, Taesun
AU - Abu Al-Rub, Rashid K.
AU - Masad, Eyad A.
AU - Little, Dallas N.
N1 - Funding Information:
The authors acknowledge the financial support provided by the Qatar National Research Fund (QNRF) through the National Priority Research Program. QNRF funding supported the developed micromechanical modeling presented in this study. In addition, the authors acknowledge the support of the Federal Highway Administration, U.S. Department of Transportation, through the Asphalt Research Consortium (ARC). ARC funding supported the development of the constitutive model presented in this study. Also, fruitful discussions with Sun-Myung Kim and Emad Kassem of Texas A&M University about the microstructural modeling of asphalt concrete and X-ray CT image techniques are acknowledged. Finally, the authors acknowledge the Texas A&M Supercomputing Facility (http://sc.tamu.edu/) for providing computing resources useful in conducting the research reported in this paper.
PY - 2013
Y1 - 2013
N2 - This paper presents a framework that combines experimental techniques and computational methods for modeling the microscopic response of asphalt mixtures subjected to various loading conditions. The basis of this framework is capturing the three-dimensional microstructure of asphalt mixtures with X-ray computed tomography and a sequence of image-processing methods to identify the microstructure components or mixture phases. This microstructure is then converted to a finite element model in which the various phases are represented with constitutive models that describe their mechanical behavior. In this study, the coarse aggregate phase was modeled as a linear elastic material, and the matrix phase (asphalt, fine particles, and air voids) was represented as a thermoviscoelastic, viscoplastic, and damage model. The analysis results showed that the model captured the effects of temperature, rate of loading, repeated loads, and mixture design on the microstructure response. These results demonstrate that the developed framework will help engineers and researchers to understand the effects of mixture design and material properties on performance and to establish the link between microscopic response and macroscopic behavior.
AB - This paper presents a framework that combines experimental techniques and computational methods for modeling the microscopic response of asphalt mixtures subjected to various loading conditions. The basis of this framework is capturing the three-dimensional microstructure of asphalt mixtures with X-ray computed tomography and a sequence of image-processing methods to identify the microstructure components or mixture phases. This microstructure is then converted to a finite element model in which the various phases are represented with constitutive models that describe their mechanical behavior. In this study, the coarse aggregate phase was modeled as a linear elastic material, and the matrix phase (asphalt, fine particles, and air voids) was represented as a thermoviscoelastic, viscoplastic, and damage model. The analysis results showed that the model captured the effects of temperature, rate of loading, repeated loads, and mixture design on the microstructure response. These results demonstrate that the developed framework will help engineers and researchers to understand the effects of mixture design and material properties on performance and to establish the link between microscopic response and macroscopic behavior.
UR - http://www.scopus.com/inward/record.url?scp=85009402751&partnerID=8YFLogxK
U2 - 10.3141/2373-07
DO - 10.3141/2373-07
M3 - Article
AN - SCOPUS:85009402751
SN - 0361-1981
VL - 2373
SP - 63
EP - 70
JO - Transportation Research Record
JF - Transportation Research Record
ER -