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First name, Middle name, Last name, Scientific degree, Scientific rank, Current position. Full and brief name of the organization, The organization address.Danif L. Samatov, Category 2 Design Engineer, “SK AVTODOR” LLC, Kazan, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0009-0003-7483-397X Karina R. Khuziakhmetova, assistant, Kazan State University of Architecture and Engineering, Kazan, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0001-5313-3147 Lenar F. Mavliev, candidate of technical sciences, associate professor, head of department, Kazan State University of Architecture and Engineering, Kazan, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0001-6301-0941 Vladimir V. Mokshin, candidate of technical sciences, associate professor, Kazan National Research Technical University named after A.N. Tupolev-KAI, Kazan, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0002-7650-3419
Title of the articleAutomation of selection of bitumen binder grade taking into account temperature conditions and transport loads
Abstract.Problem statement. Selection of bitumen binder according to the Performance Grade system plays a key role in ensuring the durability and reliability of road surfaces and foundations. However, this process remains labor-intensive, as it requires taking into account a large array of initial data: climatic conditions, transport loads, features of the designed structure and regulatory requirements. Performing calculations manually takes a significant amount of time, increases the likelihood of errors and complicates the selection of the optimal binder grade. Therefore, an urgent task is to automate the process of selecting a bitumen grade. In this regard, the goal of the work was set, which is to develop a program for the automated selection of a bitumen binder grade taking into account climatic conditions and transport loads. The tasks of the work are to collect initial data for the selection of PG bitumen binder, assess the temperature conditions of the regions of the Russian Federation, analyze transport loads, develop a code and create software for selecting a binder grade according to the PG system, as well as a comparative analysis of the results of selecting the developed software with existing analogues. Results. The developed program provides a significant reduction in labor costs (20-70 times compared to manual calculations), full compliance with the regulatory documentation methodology, and surpasses existing analogues in terms of the relevance of the regulatory framework and the volume of climate data. Conclusions. The significance of the results obtained for the road industry consists in increasing the accuracy of material selection, reducing errors and ensuring the durability of road infrastructure while optimizing the costs of its operation.
Keywords.bitumen binder, Performance Grade, PG, automation, asphalt concrete, highway, road construction, Python
For citations:Samatov D.L., Khuziakhmetova K.R., Mavliev L.F., Mokshin V.V. Automation of selection of bitumen binder grade taking into account temperature conditions and transport loads // News of KSUAE, 2025, № 3 (73), с. 331-340, DOI: 10.48612/NewsKSUAE/73.28, EDN: WCHOEC


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