TY - JOUR
T1 - Computational micromechanical analysis of the representative volume element of bituminous composite materials
AU - Ozer, Hasan
AU - Ghauch, Ziad G.
N1 - Funding Information:
This publication is supported by Illinois Center for Transportation Project No. ICT-R27-78—Evaluating the effects of various asphalt binder additives/modifiers on moisture sensitivity in HMA sponsored by the Illinois Department of Transportation. Special thanks to all those who contributed in the experimental part of this study. The contents of this paper reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. This paper does not constitute a standard, specification, or regulation.
Publisher Copyright:
© 2016, Springer Science+Business Media Dordrecht.
PY - 2016/8/1
Y1 - 2016/8/1
N2 - Micromechanical computational modeling is used in this study to determine the smallest domain, or Representative Volume Element (RVE), that can be used to characterize the effective properties of composite materials such as Asphalt Concrete (AC). Computational Finite Element (FE) micromechanical modeling was coupled with digital image analysis of surface scans of AC specimens. Three mixtures with varying Nominal Maximum Aggregate Size (NMAS) of 4.75 mm, 12.5 mm, and 25 mm, were prepared for digital image analysis and computational micromechanical modeling. The effects of window size and phase modulus mismatch on the apparent viscoelastic response of the composite were numerically examined. A good agreement was observed in the RVE size predictions based on micromechanical computational modeling and image analysis. Micromechanical results indicated that a degradation in the matrix stiffness increases the corresponding RVE size. Statistical homogeneity was observed for window sizes equal to two to three times the NMAS. A model was presented for relating the degree of statistical homogeneity associated with each window size for materials with varying inclusion dimensions.
AB - Micromechanical computational modeling is used in this study to determine the smallest domain, or Representative Volume Element (RVE), that can be used to characterize the effective properties of composite materials such as Asphalt Concrete (AC). Computational Finite Element (FE) micromechanical modeling was coupled with digital image analysis of surface scans of AC specimens. Three mixtures with varying Nominal Maximum Aggregate Size (NMAS) of 4.75 mm, 12.5 mm, and 25 mm, were prepared for digital image analysis and computational micromechanical modeling. The effects of window size and phase modulus mismatch on the apparent viscoelastic response of the composite were numerically examined. A good agreement was observed in the RVE size predictions based on micromechanical computational modeling and image analysis. Micromechanical results indicated that a degradation in the matrix stiffness increases the corresponding RVE size. Statistical homogeneity was observed for window sizes equal to two to three times the NMAS. A model was presented for relating the degree of statistical homogeneity associated with each window size for materials with varying inclusion dimensions.
KW - Asphalt concrete
KW - Finite element method
KW - Micromechanical modeling
KW - Representative volume element
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U2 - 10.1007/s11043-016-9296-x
DO - 10.1007/s11043-016-9296-x
M3 - Article
AN - SCOPUS:84961621724
SN - 1385-2000
VL - 20
SP - 441
EP - 453
JO - Mechanics of Time-Dependent Materials
JF - Mechanics of Time-Dependent Materials
IS - 3
ER -