Using statistical methods to determine the load-bearing capacity of rectangular CFST columns
In 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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
|
| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201823404002 |
| _version_ | 1818954959975088128 |
|---|---|
| author | Vatulia Glib Orel Yevhen Rezunenko Maryna Panchenko Nataliia |
| author_facet | Vatulia Glib Orel Yevhen Rezunenko Maryna Panchenko Nataliia |
| author_sort | Vatulia Glib |
| collection | DOAJ |
| description | In 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. |
| first_indexed | 2024-12-20T10:30:28Z |
| format | Article |
| id | doaj.art-8eb1681e46af422dbd0416da159be12b |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-20T10:30:28Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-8eb1681e46af422dbd0416da159be12b2022-12-21T19:43:45ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012340400210.1051/matecconf/201823404002matecconf_bultrans2018_04002Using statistical methods to determine the load-bearing capacity of rectangular CFST columnsVatulia Glib0Orel Yevhen1Rezunenko Maryna2Panchenko Nataliia3Ukrainian State University of Railway Transport, Structural Mechanics and Hydraulics DepartmentUkrainian State University of Railway Transport, Structural Mechanics and Hydraulics DepartmentUkrainian State University of Railway Transport, Applied Mathematics DepartmentUkrainian State University of Railway Transport, Applied Mathematics DepartmentIn 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.https://doi.org/10.1051/matecconf/201823404002 |
| spellingShingle | Vatulia Glib Orel Yevhen Rezunenko Maryna Panchenko Nataliia Using statistical methods to determine the load-bearing capacity of rectangular CFST columns MATEC Web of Conferences |
| title | Using statistical methods to determine the load-bearing capacity of rectangular CFST columns |
| title_full | Using statistical methods to determine the load-bearing capacity of rectangular CFST columns |
| title_fullStr | Using statistical methods to determine the load-bearing capacity of rectangular CFST columns |
| title_full_unstemmed | Using statistical methods to determine the load-bearing capacity of rectangular CFST columns |
| title_short | Using statistical methods to determine the load-bearing capacity of rectangular CFST columns |
| title_sort | using statistical methods to determine the load bearing capacity of rectangular cfst columns |
| url | https://doi.org/10.1051/matecconf/201823404002 |
| work_keys_str_mv | AT vatuliaglib usingstatisticalmethodstodeterminetheloadbearingcapacityofrectangularcfstcolumns AT orelyevhen usingstatisticalmethodstodeterminetheloadbearingcapacityofrectangularcfstcolumns AT rezunenkomaryna usingstatisticalmethodstodeterminetheloadbearingcapacityofrectangularcfstcolumns AT panchenkonataliia usingstatisticalmethodstodeterminetheloadbearingcapacityofrectangularcfstcolumns |