Browsing by Author "Gryshchenko, A. V."

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    Computer Modeling of the Physical and Chemical Properties of Railcar Structures to Predict the Remaining Service Life
    (СНУ ім. В. Даля, 2025) Fomin, O. V.; Burlutskyi, О. V.; Gryshchenko, A. V.; Hrynko, M. О.
    The article reveals the peculiarities of the importance of research work on determining the friability of steel components and parts in transport operating under static or cyclic loads in the field of elastic deformation. The issue of ensuring the safety and reliability of rolling stock is of particular importance in the context of intensive railway transport operation. Carriage structures are constantly subjected to significant mechanical and climatic loads and gradually lose their original properties. Therefore, timely forecasting of their service life is critical to preventing emergencies, optimizing repair and maintenance costs, and increasing the efficiency of transport operations. The problem of assessing the residual life of rolling stock components and parts is not new. At the same time, it is still relevant today. Cyclic loading causes the destruction of metals at a stress that is not only less than the tensile strength, but also less than the yield strength and elasticity.Metal destruction under cyclic loading is localized. The ability of a metal to resist repeated alternating loads is characterized by the cyclic toughness of the metal. It describes the ability of metals to absorb energy in an irreversible form. The deformation curves during loading and unloading do not coincide with each other, but form a hysteresis loop. It has been theoretically shown that the material's friability (porosity, defectiveness) can indeed be a key parameter for assessing the residual life of structures, especially after prolonged operational loading or exposure to aggressive environments. From a practical point of view, there is a fundamental possibility of developing devices based on certain regularities of physical properties of metals in relation to friability, which are most suitable for real components and parts and conditions during operation. Based on the above, it is possible to create an effective methodology for monitoring and diagnosing the residual life of steel parts and assemblies, which will significantly improve the efficiency of the railway industry and avoid accidents and large-scale disasters.