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June 19, 2026Journal of Materials in Civil Engineering

Modulus Characterization and Prediction of Asphalt Mixture Using Self-Consistent Micromechanics

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Authors

ZZZhe ZengWHWang HuHCH Chen

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Overview

Randomized trial evaluates dynamic modulus prediction in asphalt mixtures, suggesting improved estimation methods.

Key Points

  • This study evaluates the prediction of dynamic modulus in asphalt mixtures using self-consistent micromechanics while considering the components of the mixture.
  • Evaluated forward and backward models for dynamic modulus prediction based on self-consistent micromechanics.
  • Investigated the influence of aggregate and binder types on modulus predictability.
  • Conducted sensitivity analyses using finite-element simulations.
  • Dynamic modulus prediction remains more accurate than Witczak’s predictive model.
  • Minor decrease in accuracy noted when average aggregate moduli used compared to true values.
  • General reasonableness of self-consistent model results with attention needed on structural fatigue predictions.

Cite This Study

Zeng et al. (2026) studied this question.

synapsesocial.com/papers/6a34df2365a5b0777af2e478https://doi.org/10.1061/jmcee7.mteng-23070
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Also Consider

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  1. 1Physics-informed machine learning for asphalt mixture dynamic modulus: Balancing high accuracy with stability and rationality2026
  2. 2Loading Distributions in Asphalt Mixtures with the Virtual Dynamic Modulus Test2026
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  5. 5Prediction and Correction of Asphalt Mastic Modulus Based on Effective Volume Fraction and Filler–Asphalt Interaction2026