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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.Nikolay A. Ermoshin, doctor of military sciences, professor, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0002-0367-5375 Viacheslav A. Borisov, post-graduate student, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it , ORCID: 0000-0002-8596-7020
Title of the articleModeling of working conditions and selection of sets of road-building machines and processing equipment
Abstract.Results. The proposed methodology makes it possible to justify the option of a set of road construction machines and technological equipment and to adjust it (adapt) to the changing conditions of work on the production, procurement and transportation of materials and structures, construction of the roadbed, foundation construction, and asphalt concrete pavement construction. The developed methodology also makes it possible to adapt a set of road-building machines and mechanisms not only to changes in the scope of work and technical support of the construction organization, but also to the financial capabilities of the contractor. Conclusions. The significance of the results obtained for the construction industry is that by creating an adaptive set of road-building machines and technological equipment for the construction of highways, it is possible to reduce the costs for the formation, operation and possible adaptation of the set.
Keywords.operating conditions, road construction machinery set, technological equipment, mathematical model, adaptation
For citations:Ermoshin N.A., Borisov V.A. Modeling of working conditions and selection of sets of road-building machines and processing equipment // News KSUAE, 2024, № 2(68), p. 147-158, DOI: 10.48612/NewsKSUAE/68.13, EDN: NDANNY


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