Prediction of dynamic modulus of asphalt mixture using micromechanical method with radial distribution functions

TY - JOUR

T1 - Prediction of dynamic modulus of asphalt mixture using micromechanical method with radial distribution functions

AU - Zhang, Jiupeng

AU - Fan, Zepeng

AU - Wang, Hao

AU - Sun, Wei

AU - Pei, Jianzhong

AU - Wang, Dawei

N1 - Funding Information: This research was partially supported by China Postdoctoral Science Foundation [Grant Number 2017M620434]. Publisher Copyright: © 2019, RILEM.

PY - 2019/4/1

Y1 - 2019/4/1

N2 - Inter-particle interaction is one of the major reinforcement mechanisms for aggregates in asphalt mixture, which is a classic example of high-volume fraction particulate composites. This paper introduced the modified Ju-Chen (J-C) micromechanical method based on two types of radial distribution assumptions for inclusions in the matrix, namely the uniform distribution and Percus–Yevick (P–Y) distribution. A two-step approach was proposed and the elastic–viscoelastic correspondence principle was used to predict the effective dynamic modulus of asphalt mixture at different frequencies. The prediction results show that the uniform distribution and P–Y distribution based J-C method could generate the upper and lower bounds of dynamic modulus for asphalt mixture, respectively. As compared to the measured dynamic modulus at different temperatures and loading frequencies, the modified J-C method showed better prediction accuracy as compared to two traditional micromechanical models based on single inclusion configuration, Mori–Tanaka (M–T) and differential scheme effective medium models. The J-C method assuming P–Y distribution provided better accuracy at the low frequencies; while the J-C method assuming the uniform distribution only had good accuracy at the high frequencies. The study findings indicate that dynamic modulus of asphalt mixture can be predicted based on laboratory tests conducted at the fine aggregate mix level and the void ratio and the gradation of coarse aggregate using appropriate micromechanics methods.

AB - Inter-particle interaction is one of the major reinforcement mechanisms for aggregates in asphalt mixture, which is a classic example of high-volume fraction particulate composites. This paper introduced the modified Ju-Chen (J-C) micromechanical method based on two types of radial distribution assumptions for inclusions in the matrix, namely the uniform distribution and Percus–Yevick (P–Y) distribution. A two-step approach was proposed and the elastic–viscoelastic correspondence principle was used to predict the effective dynamic modulus of asphalt mixture at different frequencies. The prediction results show that the uniform distribution and P–Y distribution based J-C method could generate the upper and lower bounds of dynamic modulus for asphalt mixture, respectively. As compared to the measured dynamic modulus at different temperatures and loading frequencies, the modified J-C method showed better prediction accuracy as compared to two traditional micromechanical models based on single inclusion configuration, Mori–Tanaka (M–T) and differential scheme effective medium models. The J-C method assuming P–Y distribution provided better accuracy at the low frequencies; while the J-C method assuming the uniform distribution only had good accuracy at the high frequencies. The study findings indicate that dynamic modulus of asphalt mixture can be predicted based on laboratory tests conducted at the fine aggregate mix level and the void ratio and the gradation of coarse aggregate using appropriate micromechanics methods.

KW - Asphalt mixture

KW - Inter-particle effect

KW - Micromechanical method

KW - Radial distribution function

KW - Two-step approach

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U2 - https://doi.org/10.1617/s11527-019-1348-7

DO - https://doi.org/10.1617/s11527-019-1348-7

M3 - Article

SN - 1359-5997

VL - 52

JO - Materials and Structures/Materiaux et Constructions

JF - Materials and Structures/Materiaux et Constructions

IS - 2

M1 - 49

ER -