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EN
The beams of thin corrugated web afford a significant weight reduction compared with hot-rolled or welded ones. In the initial solutions, the flanges are made of flat plates, welded to the sinusoidal web sheet, requiring a specific welding technology. A new solution is proposed by the authors, in which the beam is composed by a web of trapezoidal cold-formed steel sheet and flanges of back-to-back lipped channel sections. For connecting flanges to the web self-drilling screws are used. The paper summarizes the experimental and numerical investigations carried out at the CEMSIG Research Centre (www.ct.upt.ro/centre/cemsig/) of the Politehnica University of Timisoara and, at the end, presents the influence of corrugation depth of web on the lateral stability of the beams.
EN
An imperfection sensitivity analysis of cold-formed steel members in compression is presented. The analysis is based on Koiter’s approach and Monte Carlo simulation. If the modes interaction is correctly accounted, than the limit load and the erosion of critical buckling load can be easily evaluated. Thousands of imperfection can be analysed with very low computational cost and an effective statistical evaluation of limit performance can be carried out. The analysis is done on pallet rack uprights in compression, based on an intensive experimental study carried out at the Politehnica University of Timisoara.
3
Content available remote Sensitivity to Imperfections of Perforated Pallet Rack Sections
EN
The paper analyses the influence of imperfections on the behaviour of perforated pallet rack members in compression using non-linear FE simulations. The effect of imperfections, perforations and buckling modes, reduces significantly the capacity of perforated members in compression, especially in the coupling range due to interaction. A sensitivity analysis done using calibrated and validated numerical models can be done in order to determine the most detrimental combinations of imperfections to be considered for numerical simulations. The ECBL approach can be successfully applied to perform a sensitivity analysis via numerical simulations, using a limited number of experimental tests.
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