Please use this identifier to cite or link to this item: http://lib.kart.edu.ua/handle/123456789/13108
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dc.contributor.authorVatulia, Glib-
dc.contributor.authorOrel, Yevhen-
dc.contributor.authorRezunenko, Maryna-
dc.contributor.authorPanchenko, Nataliia-
dc.date.accessioned2022-12-28T15:19:44Z-
dc.date.available2022-12-28T15:19:44Z-
dc.date.issued2018-
dc.identifier.citationVatulia G. Using statistical methods to determine the load-bearing capacity of rectangular CFST columns / G. Vatulia, Yе. Orel, M. Rezunenko, N. Panchenko // MATEC Web of Conferences. - 2018. - Vol. 234 (04002). - Р. 1-4.uk_UA
dc.identifier.issn2261-236X (online)-
dc.identifier.urihttp://lib.kart.edu.ua/handle/123456789/13108-
dc.description.abstractIn the current practice of construction and design of transport facilities, structures with external reinforcement are commonly used which effectively resist compression. The use of steel-concrete and composite structures enables us to reduce material consumption and cost of structures significantly. There are a few established approaches used to evaluate the load-bearing capacity of steel-concrete structures under axial and eccentric compression, each being based on the initial prerequisites, which underlie the calculation formulas. In this paper, the functional relationship of the value of the maximum load-bearing capacity of rectangular concrete-filled steel tubular (CFST) columns under axial compression with the random eccentricity is plotted. A regression model is proposed based on the methods of mathematical statistics, which allows for the evaluation of the impact of geometrical and physical characteristics of rectangular CFST columns on the value of their load-bearing capacity. The correspondence of the obtained model to the experimental data, as well as the significance of the regression parameters are confirmed by Fisher and Student criteria.uk_UA
dc.language.isoenuk_UA
dc.publisherWeb of Conferences EDP Sciencesuk_UA
dc.titleUsing statistical methods to determine the load-bearing capacity of rectangular CFST columnsuk_UA
dc.typeArticleuk_UA
Appears in Collections:2018

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