2020
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Browsing 2020 by Author "Marochka, Vitalii V."
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Item Numerical Analysis of Reinforcement of Sections With Transitional Rigidity on Approaches to Railway Bridges(Dnipro National University of Railway Transport named after Academician V. Lazaryan, Dnipro, 2020) Marochka, Vitalii V.; Boboshko, Stepan H.EN: Purpose. To analyze the mechanism of work of embankments, to model three-dimensional models and to compare methods of their reinforcement on transitional areas on approaches to railway bridges using the Lira software based on finite element method (FEM). To do comprehensive analysis of results and comparison of constructive performance of different reinforcement methods. Methodology. Numerical finite element modeling (FEM) had been performed to study the work of embankments in transition sections on approaches to railway bridges. Four three-dimensional models of the construction of the transitional section, corresponding to the real bridge, had been constructed. These models had been tested for nominal load to evaluate their performance relative to each other. Findings. As a result of the calculations, the deformation characteristics for the basic model and each of the reinforcement types had been obtained, and their comparisons had been made by determining the maximum vertical deformations and vertical deformations at key points. The analyze of feasibility of using the tested reinforcement methods under different real initial conditions had been performed. Originality. The main aspects of the work of the transition sections over long periods of time had been revealed. Comparisons of fundamentally different methods and types of reinforcement of sections with transient stiffness had been made. The expediency of the methods of reinforcement of the embankment construction in the transitional sections that had been proposed in previous works had been tested. Practical value. The proposed reinforcement methods may be used depending on the specific design conditions, the budget, and other factors. Evaluating the work of different types of reinforcement during numerical analysis makes it possible to move away from large-scale field trials and focus on other methods, which significantly reduces time spent on solving current problems.