Mathematical Model to Predict the Affinity Between Aggregate/Bitumen

  • P. Caputo Department of Chemistry and Chemical Technologies, University of Calabria, Via P. Bucci, Cubo 14/D, 87036 Arcavacata di Rende (CS), Italy
  • G. A. Ranieri Department of Chemistry and Chemical Technologies, University of Calabria, Via P. Bucci, Cubo 14/D, 87036 Arcavacata di Rende (CS), Italy
  • D. Miriello Department of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Arcavacata di Rende, CS, Italy
  • A. Bloise Department of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Arcavacata di Rende, CS, Italy
  • A. A. Abe Department of Chemistry and Chemical Technologies, University of Calabria, Via P. Bucci, Cubo 14/D, 87036 Arcavacata di Rende (CS), Italy
  • B. Teltayev Kazakhstan Highway Research Institute, 2A Nurpeisova Str., 050061, Almaty, Kazakhstan
  • C. Oliviero Rossi Department of Chemistry and Chemical Technologies, University of Calabria, Via P. Bucci, Cubo 14/D, 87036 Arcavacata di Rende (CS), Italy
Keywords: Bitumen/aggregate affinity, Rolling Bottle Test, Boiling Test, X-ray powder diffraction

Abstract

The stones used for the construction of road surfaces have a complex mineralogical and hence chemical composition. They are made up of several types of minerals put together. This generates a significant difference in adhesion with the bituminous binder. The aim of this study is to create a mathematical model able to predict the adhesion between bitumen and stone on the basis of contact angle measurements made on different pure minerals. The mathematical model used was developed keeping in mind the exponential bond that the minerals have with the corresponding bond angle. This model also confirmed the established fact that the lower the value of Δ, the better the adhesion between the bitumen and the aggregate.

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Published
2020-09-30
How to Cite
[1]
P. Caputo, “Mathematical Model to Predict the Affinity Between Aggregate/Bitumen”, Eurasian Chem.-Technol. J., vol. 22, no. 3, pp. 197-203, Sep. 2020.
Section
Articles