DOI: 10.17587/prin.12.413-419

On the Issue of Designing a System for Continuous Control of Road Materials Compaction for Pavers

A. P. Prokopev, prok1@yandex.ru, Zh. I. Nabizhanov, jasur150691@yandex.ru, V. I. Ivanchura, ivan43ura@yandex.ru, R. T. Emelyanov, ert-44@yandex.ru, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation

Corresponding author: Prokopev Andrey P., Associate Professor, Siberian Federal University, 660041, Krasnoyarsk, Russian Federation, E-mail: prok1@yandex.ru

The results of the research on the creation of an automatic compaction control system (ACCS) for pavers in real time are considered. The research is based on the methods of artificial neural networks (ANN). In this paper, an ANN model is obtained, with the help of which it is possible to determine the compaction coefficient (CC) of an asphalt mixture. The input variables of the ACCS are the velocity of movement of the paver, the frequency of impacts of the tamper, the force in the pusher of the tamper, the type of mixture, the thickness of the layer. The results of a computational experiment on the calculation of Cc in real time are presented. The ANN is able to explain more than 98 % of the measured data.

Keywords: automatic control system, artificial neural networks, non-destructive technologies, compaction control, road materials

pp. 413–419

For citation:
Prokopev A. P., Nabizhanov Zh. I., Ivanchura V. I., Emelyanov R. T. On the Issue of Designing a System for Continuous Control of Road Materials Compaction for Pavers, Programmnaya Ingeneria, 2021, vol. 12, no. 8, pp. 413—419.

This work was supported by the Russian Foundation for Basic Research, project no. 19-37-90052