Characterization model of asphalt mixtures using digital image processing

Abstract

The construction of roads and highways are the central axis for the development of cultural, economic, and social growth of a country. There are different types of structural materials used for the construction of these roads, among which the use of asphalt mixtures for the creation of flexible pavements stands out. Este work shows the development of to characterization model for asphalt mixtures through the implementation of different digital tools to know, through an image, a detailed description of the asphalt mixture, allowing to simplifying decision making in the field, optimizing the process of construction and quality of pavements. For the development, digital image processing algorithms, discrete Fourier transform, and Kohonen self-organizing maps are implemented. The results Show the obtaining of the different characteristics, the error less than 4% of the digital granulometry with respect to the one used in the laboratory and the relationship of the segregation with the mechanical behavior of the mixtures. in future work, the validation of the incidence of the other parameters calculated with the mechanical properties of the material es projected.

Keywords

• kohonen
• pavements
• characterization models
• digital image processing