Computational Model of Cold-formed Steel Members
Author | : Hamed Amouzegar |
Publisher | : |
Total Pages | : 106 |
Release | : 2016 |
ISBN-10 | : OCLC:1164713910 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Computational Model of Cold-formed Steel Members written by Hamed Amouzegar and published by . This book was released on 2016 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Post-buckling behavior of thin-walled, cold-formed steel members is complicated.The discrepancy between the experimentally measured load-deformation curves and computational simulations stems from a fundamental lack of knowledge about the initial stage of these members, such as residual stresses and strains and geometric imperfections. We develop a numerical algorithm to calculate the through-thickness variation of residual stresses and strains. The algorithm calculates the stresses and strains by viewing the manufacturing process as a combination of elasto-plastic bending and spring back in a wide plate under plane strain conditions. The results obtained via the proposed algorithm are verified with the available closed formed solutions,finite element analysis results and experimental measurements. A parametric study is performed to evaluate the effect of the coil radius and cross-sectional and material properties on the residual stresses and strains. We also propose a framework for statistical analysis of the impact of global imperfection modes on collapse behavior of cold-formed steel members. The measured global geometric imperfections of cold-formed lipped channels are used within a stochastic fully nonlinear simulation framework to calculate an ensemble of load-deformation curves as well as load carrying capacities describing, in a statistical sense, the collapse behavior of cold-formed lipped channels. A robust analysis of variance (ANOVA) technique is finally used to examine the contribution of different imperfection modes in the variability present in the nonlinear response and to make quantitative conclusions on the impact of imperfect ion modes, both individually and in groups, on the collapse behavior.