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Evaluation of the Curing of Adhesive Systems by Rheological and Thermal Testing
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Modelling of Asphalt's Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis.

Md Arifuzzaman1, Uneb Gazder1, Md Shah Alam1

  • 1Department of Civil Engineering, University of Bahrain, Zallaq, Bahrain.

Computational Intelligence and Neuroscience
|September 13, 2019
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Summary

Oxidation degrades adhesive properties in polymer and carbon nanotube-modified asphalt. Classification and Regression Trees (CART) accurately predict these changes, considering real-world aging and nanoscale chemistry.

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Area of Science:

  • Materials Science
  • Chemical Engineering
  • Nanotechnology

Background:

  • Asphalt modification with polymers and nanomaterials enhances properties.
  • Oxidation during service life negatively impacts modified asphalt's performance.
  • Adhesive properties are particularly susceptible to oxidative degradation.

Purpose of the Study:

  • Investigate the impact of oxidation on the adhesive properties of asphalt modified with polymers (styrene-butadiene-styrene, styrene-butadiene) and carbon nanotubes.
  • Evaluate adhesive properties using atomic force microscopy (AFM).
  • Develop a predictive model for adhesive properties using machine learning.

Main Methods:

  • Laboratory aging of modified asphalt samples to simulate field conditions.
  • Atomic Force Microscopy (AFM) with functional group-specific tips to evaluate adhesive properties.
  • Classification and Regression Tree (CART) modeling for predictive analysis.
  • Comparison of CART model with traditional regression models.

Main Results:

  • Oxidation significantly affects the adhesive properties of modified asphalt.
  • AFM provided nanoscale insights into adhesion changes.
  • CART model demonstrated superior explanatory power compared to regression models.
  • CART accurately predicted adhesive properties based on oxidation and chemical factors.

Conclusions:

  • The study successfully evaluated the oxidative effects on modified asphalt adhesion.
  • CART is an effective tool for predicting adhesive property changes in aged asphalt.
  • The findings are crucial for understanding and improving the durability of modified asphalt binders.