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February 24, 2026Results in EngineeringOpen Access

Prediction and Correction of Asphalt Mastic Modulus Based on Effective Volume Fraction and Filler–Asphalt Interaction

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Authors

XHXiaodong HanTLTao LiuYWYuwei Wang

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Overview

Develops a model to enhance modulus prediction in asphalt mastics with high filler content, suggesting significant implications for pavement engineering.

Key Points

  • The aim is to improve the prediction accuracy of the asphalt mastic modulus using a correction model based on effective volume fraction.
  • Developed a modulus correction model based on effective volume fraction
  • Tested mastics with varying filler contents and sizes using a dynamic shear rheometer
  • Applied the Mori-Tanaka model to analyze modulus at low and high filler levels
  • Proposed model improved prediction accuracy for mastics with high filler content
  • Critical filler volume fraction identified around 44% for significant particle interactions
  • Smaller fillers increased modulus more due to higher surface area and stronger interactions

Cite This Study

Han et al. (2026) studied this question.

synapsesocial.com/papers/699d401ade8e28729cf651c3https://doi.org/10.1016/j.rineng.2026.109695
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Also Consider

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  1. 1Characterizing the Interaction Mechanism between Asphalt and Mineral Filler in Asphalt Mastics of Mastic Asphalt Concrete Using Rheological Analysis, Hirsch Model, and 3D DEM2026
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  4. 4Dynamic modulus characteristics and prediction model of semi-flexible materials filled with high-performance cement paste2024 · 2 citations
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