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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 articleFunctional adaptation of road construction machinery sets for the construction of transport infrastructure
Abstract.Problem Statement. The rational selection of road construction machinery sets is crucial for the efficient execution of road construction works. During the construction of linear extended projects, such as highways, working conditions (climatic, hydrogeological, etc.) vary significantly across different sections. In this regard, there is a need to adjust the composition of machinery sets, but traditional methods of forming sets of road construction machines do not allow one to respond to changes in external factors without significant additional costs. Functional adaptation measures often involve replacing or reconfiguring equipment, which incurs substantial costs. Existing methods for determining road construction machinery sets compositions are designed for fixed, predetermined working conditions and are inadequate for justifying sets that are adaptable to a range of potential scenarios while minimizing adaptation costs. Research Objective. The aim of this study is to develop a method for the functional adaptation of road construction machinery sets. This method ensures work is completed to the required quality standards and within deadlines, while optimizing the costs associated with the formation, reconfiguration, and operation of these sets. To achieve this goal, the following tasks are addressed: justifying the approach for modeling road construction working conditions (natural and climatic, soil and hydrogeological, etc.); developing a method to determine optimal road construction machinery sets compositions for homogeneous groups of operational conditions (funding volumes, technological resources, range and volume of road works, etc.); and creating an algorithm for selecting an adaptive road construction machinery sets, considering preemptive measures for its adjustment to changing site conditions. Results. A method for the functional adaptation of road construction machinery sets during transportation facility construction has been developed. The method is based on the application of mathematical programming models to justify road construction machinery (RCM) sets composition, statistical modeling to simulate working conditions and the economic uncertainty of resource provision, and game theory for selecting adaptive RCM sets options under uncertainty. Conclusions. The proposed method can be utilized by design, construction, maintenance, and other transportation-related organizations to justify and select (purchase, lease) machinery and equipment sets. It aids in identifying preemptive measures for adapting RCMs to changing site conditions and their logistical support, as well as in managing the financial risks associated with cost overruns from machinery set reconfiguration.
Keywords.road construction machinery, road construction works, adaptation, optimization, mathematical programming, sets
For citations:Borisov V.A., Ermoshin N.A. Functional adaptation of road construction machinery sets for the construction of transport infrastructure// News of KSUAE, 2026, № 1 (75), p. 416-427, DOI: 10.48612/NewsKSUAE/75.34, EDN: VGFWCY


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