Browsing by Author "Bikus, Kateryna"

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    Predicting Changes of the State of a Bridge Reinforced With Concrete Superstructures in View of Operational Changes
    (Uniwersytet Zielonogórski, Poland, 2019) Ovchynnykov, Pavlo A.; Dubinchyk, Olha I.; Tiutkin, Oleksii L.; Kildieiev, Vitalii R.; Sedin, Volodymyr; Bikus, Kateryna
    ENG: Purpose. Bridges are the most durable and heavy duty transport facilities. Therefore, the solution of scientific and technical problems of superstructure service life predicting in the context of defect and damage accumulation that is, taking into account changes in operating conditions is on the front burner. Methodology. To solve the problem of superstructure service life predicting, the work proposes the bases and methodological developments of creep theory with increasing loads as well as regression analysis of the laboratory experiments results. Findings. The main parameters of reinforcement corrosion growth in the concrete cracks were determined under laboratory experiments. Based on the obtained results the approximate analytical dependences concerning reinforcement corrosion depth change in time at a constant value of crack width were selected. The paper substantiates validity of the analytical dependences as a result of regression analysis; proposes formulas for determining the corrosion rate of rebar in reinforced concrete superstructures. The obtained analytical dependences allowed for development of the process of predicting superstructure state changes in view of operational changes. Originality. For the first time, using laboratory experiments, the development of reinforcement corrosion in concrete cracks was determined together with assessment of time-varying corrosion depth. Practical value. Approximating analytical dependences, with a high level of confidence (95%), allow predicting reasonably the crack width in reinforced concrete superstructure. This is a significant practical value for bridge superstructure service life predicting in the context of defect and damage accumulation that is, taking into account changes in operating conditions. Formulas for determining the corrosion rate in rebar with the ability to predict the active area of corroded reinforcement have also practical value.