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

  • Jiupeng Zhang
  • Zepeng Fan
  • Hao WangEmail author
  • Wei Sun
  • Jianzhong Pei
  • Dawei Wang
Original Article
  • 106 Downloads

Abstract

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.

Keywords

Asphalt mixture Micromechanical method Two-step approach Inter-particle effect Radial distribution function 

Mathematical subject classification

74E30 

Notes

Acknowledgements

This research was partially supported by China Postdoctoral Science Foundation [Grant Number 2017M620434].

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© RILEM 2019

Authors and Affiliations

  1. 1.School of HighwayChang’an UniversityXi’anChina
  2. 2.Institute of Highway EngineeringRWTH Aachen UniversityAachenGermany
  3. 3.Department of Civil and Environmental EngineeringRutgers, State University of New JerseyPiscatawayUSA

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