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Updated: Jun 9, 2026
09:06
Evaluation of the Curing of Adhesive Systems by Rheological and Thermal Testing
Published on: July 3, 2020
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
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.
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.
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