Issue |
MATEC Web Conf.
Volume 219, 2018
2nd Baltic Conference for Students and Young Researchers (BalCon 2018)
|
|
---|---|---|
Article Number | 02003 | |
Number of page(s) | 8 | |
Section | Metal Structures | |
DOI | https://doi.org/10.1051/matecconf/201821902003 | |
Published online | 29 October 2018 |
On modelling of the buckling resistance of welded I-section columns
Warsaw University of Technology, Faculty of Civil Engineering,
Pl. Politechniki 1,
00-661
Warsaw, Poland
*
Corresponding author: r.szczerba@il.pw.edu.pl
This paper analyzes the influence of geometrical and material imperfections on the buckling resistance of welded I-section columns subjected to axial compression through numerical and analytical models. The paper is divided into two parts. The first part recalls a FEM parametric study of members under compression taking into account different slenderness ratios, as well as different amplitudes of initial crookedness and different values of postwelding residual stresses. The formulation of analytical approach is the main issue of the second part of the paper. Analytical formulation of the buckling resistance is based on a statistical hypothesis of the minima value approach, called the Marchant-Rankine’s-Murzewski approach (M-R-M). Calibration of imperfection factors included in the analytical formulation is made using the results of FEM simulations performed in the first stage of research investigations.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.