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DOI: 10.15862/02SATS425 (https://doi.org/10.15862/02SATS425)

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Ermoshin N.A., Simchuk A.E. Full factorial analysis of operating modes affecting tire pressure and the magnitude of dynamic impact on pavement structures. Russian Journal of Transport Engineering. 2025; 12(4). Available at: https://t-s.today/PDF/02SATS425.pdf (in Russian). DOI: 10.15862/02SATS425

Full factorial analysis of operating modes affecting tire pressure and the magnitude of dynamic impact on pavement structures

Ermoshin Nikolai Alekseevich
Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, Russia
E-mail: ermonata@mail.ru
ORCID: https://orcid.org/0000-0002-0367-5375
RSCI: https://elibrary.ru/author_profile.asp?id=735873

Simchuk Aleksei Evgenievich
Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, Russia
E-mail: alexsimchuk@bk.ru
RSCI: https://elibrary.ru/author_profile.asp?id=1197060

Abstract. The article presents the results of an experimental study aimed at quantitatively assessing the influence of operational factors on the variation of tire pressure in a heavy truck. Four main factors were considered: vehicle speed, ambient air temperature, cargo mass, and travel time. The response variable was defined as the pressure increase relative to the initial «cold» value, which makes it possible to identify actual regularities of pressure growth during vehicle operation and to distinguish them from baseline values. The study was carried out on the basis of retrospective analysis of telemetry data, which ensures the reliability of the results and allows the behavior of the tire under real operating conditions to be traced without the limitations of laboratory or bench testing. The experimental design was based on a full factorial experiment of type 2⁵, which makes it possible to evaluate both individual and combined effects of the factors. An additive first-order regression model was constructed to determine the most significant parameters influencing tire pressure growth. The contribution of each factor to the overall pressure increase was analyzed, confirming the dominant role of cargo mass and vehicle speed. The results obtained have practical significance for refining design loads in pavement engineering and for improving the accuracy of tire-pavement interaction modeling.

Keywords: tire pressure; heavy vehicles; operational factors; regression model; pressure growth; full factorial experiment; telemetry; pavement design

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