Prediction of Granulometric Composition of Granulated Asphalt Concrete Mixture

Number of journal: 9-2023
Autors:

Gerasimov D.V.

DOI: https://doi.org/10.31659/0585-430X-2023-817-9-65-71
УДК: 625.861

 

AbstractAbout AuthorsReferences
The subject of this research is asphalt-concrete mixture for road construction made with phosphogypsum and secondary polyethylene terephthalate by granulation pelletizing method. The aim of the research is to predict the granulometric composition of the material in question. The urgency of the problem is caused by the necessity of further definition of technological parameters of production, compaction regimes and structure of building conglomerate as a part of road pavement on macro-, meso- and microlevels. By the methods of sieve and numerical analysis of the kernels of granules (crushed stone) and rounded granules the granulometric composition by mass and the number of fractions particles was established. The integral function of particle size distribution has been simulated; its correspondence with the experimental data was carried out by statistical methods using Pearson’s criterion. It was found that the thickness of the built-up shell is proportional to the initial size of the crushed stone cores. The integral function of particle size distribution was determined by regression methods based on the values of fractions of particles of each fraction. With a reliability of γ=0,90, it was found that the predicted theoretical distribution did not contradict the experimental data. The maximum discrepancy in the fractions mass does not exceed 15%.
D.V. GERASIMOV, Master, Postgraduate student (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Yaroslavl State Technical University (88, Moskovsky Avenue, Yaroslavl, 150999, Russian Federation)

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For citation: Gerasimov D.V. Prediction of granulometric composition of granulated asphalt concrete mixture. Stroitel’nye Materialy [Construction Materials]. 2023. No. 9, pp. 65–71. (In Russian). DOI: https://doi.org/10.31659/0585-430X-2023-817-9-65-71


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