Assessment of the reliability of operated sections of highways

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Abstract

Background. The main objective of this study is to develop a methodology for checking the actual reliability of road surfaces based on the dynamics of changes in pavement smoothness, estimated vehicle speed, and estimated service life. The study introduces proprietary quantitative criteria, such as the road structure operational reliability coefficient and the road surface service life coefficient. The study is related to observing changes in road surface smoothness and its impact on performance characteristics. Assessing the wear and tear that occurs during operation is especially important for determining repair periods and the required amount of work. The article provides examples of smoothness measurements on road sections with varying traffic intensities, which allows us to draw a conclusion about the different rates of pavement condition deterioration and identify areas that are most susceptible to deformation.

Purpose. Consists in developing and testing a methodology for assessing the condition of road surfaces, with an emphasis on analyzing the evenness and performance characteristics of road structures. The main task is to integrate quantitative indicators and mathematical models that will allow more accurate determination of the timing and volume of necessary repairs.

Materials and methods. The article presents a methodology for assessing the actual reliability of road surfaces, developed on the basis of the dynamics of changes in the smoothness of the pavement, the estimated speed of the vehicle and the estimated service life. The methodology includes the author's developed quantitative assessment criteria, which include the coefficient of operational reliability of the road structure, the operational service life of the pavement and the coefficient of the service life of the road pavement.

Results. Based on the results of the study, reliability assessment criteria have been developed that can be useful for road management bodies and for repair planning. These criteria allow not only to identify areas requiring repair, but also to optimize the resources spent on its implementation. The study proves that the use of mathematical models and quantitative indicators can significantly improve the road surface management system, increasing safety and comfort for users.

About the authors

Yuri V. Burtyl

Belarusian National Technical University

Author for correspondence.
Email: burtyl76@mail.ru
SPIN-code: 4386-2676

Candidate of Technical Sciences, Associate Professor, Department of "Transport Systems and Technologies"

Belarus, 65, Nezavisimosti Ave., Minsk, Belarus

Denis V. Kapski

Belarusian National Technical University

Email: d.kapsky@gmail.com
SPIN-code: 5383-4582

Doctor of Science, Professor, Professor, Department of "Transport Systems and Technologies"

Belarus, 65, Nezavisimosti Ave., Minsk, Belarus

Nadezhda A. Filippova

North-Eastern Federal University named after M.K. Ammosov; Moscow Automobile and Road State Technical University (MADI); Yakut Scientific Center of the Siberian Branch of the Russian Academy of Sciences

Email: umen@bk.ru
SPIN-code: 3782-8051

Doctor of Science, Professor

Russian Federation, 58, Belinskogo Str., Yakutsk, Republic of Sakha (Yakutia), 677000, Russian Federation; 64, Leningradsky prospect, Moscow, 125319, Russian Federation; 2, Petrovsky Str., Yakutsk, Republic of Sakha (Yakutia), 677027, Russian Federation

Alexander A. Neretin

Moscow Automobile and Road State Technical University (MADI)

Email: neretin.sasha@gmail.com
SPIN-code: 3474-3633

Candidate of Technical Sciences, Associate Professor

Russian Federation, 64, Leningradsky prospect, Moscow, 125319, Russian Federation

References

  1. Burtyl', Yu. V., & Kapskii, D. V. (2022). Modeling the relationship between smoothness and strength of flexible pavements based on theoretical and practical studies. Vestnik Siberian State Automobile and Highway University, 19(4), 570–583. https://doi.org/10.26518/2071-7296-2022-19-4-570-583 EDN: https://elibrary.ru/MGXUAY
  2. Burtyl', Yu. V., Kapskii, D. V., & Larin, O. N. (2022). Modeling longitudinal smoothness of pavements with changes in road construction strength. Transport: Science, Engineering, Management, (11), 36–39. https://doi.org/10.36535/0236-1914-2022-11-6 EDN: https://elibrary.ru/NYDTOW
  3. Gertsog, V. N., Dolgikh, G. V., & Kuzin, N. V. (2015). Calculation of road pavements according to smoothness criteria. Part 1. Justification of smoothness standards for asphalt concrete pavements. Engineering and Construction Journal, (5), 45–57. https://doi.org/10.5862/MCE.57.4 EDN: https://elibrary.ru/UHLIHB
  4. Sarkisyan, G. S. (2021). Obgruntuvannya potrıbnoї mіцnosti nezhorstkogo dorozhnogo odiyahu za kryteriyem hranichnoї rіvnosti [Justification of the required strength of flexible road pavement based on the limiting smoothness criterion] (dissertation). Kharkiv: Kharkiv National Automobile and Highway University. 285 p.
  5. Russell, J. (2013). Generalized least squares method (258 p.). Moscow: VSD.
  6. Shchekoldin, V. Yu., & Lysenko, M. Yu. (2018). Development of classification methods based on cumulative curve analysis. In Proceedings of the International Scientific and Technical Conference "Actual Problems of Electronic Instrument Engineering (APEPE-2018)", Novosibirsk, October 2-6, 2018 (Vol. 8, pp. 97–100). Novosibirsk: Novosibirsk State Technical University. EDN: https://elibrary.ru/LRLUGS
  7. Lyubchenko, A. S. (2010). Otsenka i prognozirovanie nadezhnosti dorozhnykh odezhd nezhestkogo tipa (na osnove kratkosrochnykh nablyudeniy) [Assessment and prediction of the reliability of flexible pavements (based on short-term observations)] (abstract of dissertation). Volgograd: Volgograd State University of Architecture and Civil Engineering. 19 p. EDN: https://elibrary.ru/QHENCR
  8. Burtyl', Yu. V., & Kapskii, D. V. (2022). Results of ground-penetrating radar studies of road pavements in the Republic of Kazakhstan. In Proceedings of the IV All-Russian Scientific and Practical Conference with International Participation "Modernization of Airports and Development of Air Transport", Saint Petersburg, April 28-29, 2022 (pp. 39–44). Saint Petersburg: Saint Petersburg State University of Civil Aviation. EDN: https://elibrary.ru/ULIUHL
  9. Kapskii, D. V., Bogdanovich, S. V., & Burtyl', Yu. V. (2022). Impact of climate on the transport industry in Belarus. In Proceedings of the 80th International Scientific and Methodological Conference "Design of Highways", Moscow, January 24-28, 2022 (pp. 293–303). Moscow: A-project LLC. EDN: https://elibrary.ru/VFSGYN
  10. Filippova, N. A., Ivanova, A. E., Ishkov, A. M., & Vlasov, V. M. (2023). Digital technology as one of the methods to improve the efficiency of winter roads in the Arctic regions of the Republic of Sakha (Yakutia). World of Transport and Technological Machines, (3-2), 137–143. https://doi.org/10.33979/2073-7432-2023-3-2(82)-137-143 EDN: https://elibrary.ru/XBNAFS
  11. Filippova, N. A. (2024). Scientific ways to solve the problems of organization and planning of cargo transportation to the Far North and Arctic zone of Russia. Intellect. Innovations. Investments, (2), 11–22. https://doi.org/10.25198/2077-7175-2024-2-11 EDN: https://elibrary.ru/NWBZUF

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Copyright (c) 2025 Burtyl Y.V., Kapski D.V., Filippova N.A., Neretin A.A.

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