Optimum design of cold-formed steel beams using Particle Swarm Optimisation method

Jun Ye, Iman Hajirasouliha, Jurgen Becque, Abolfazl Eslami

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

Applying optimisation techniques to the design of cold-formed steel (CFS) sections can lead to more economical and efficient design solutions. However, a crucial factor in such an optimisation is to arrive at a solution which is practical and fits within the constraints of the fabrication and construction industries. Targeting this objective, a comprehensive investigation was conducted on the practical optimisation of CFS beams using a Particle Swarm Optimisation (PSO) method. Six different CFS channel section prototypes were selected and then optimised with respect to their flexural strength, determined according to the effective width based provisions of Eurocode 3 (EC3) part 1–3. Comparing the capacities of the optimised sections to those of the original channel sections with the same amount of structural material, significant improvements were obtained. The accuracy of the optimisation procedure was assessed using experimentally validated nonlinear Finite Element (FE) analyses accounting for the effect of imperfections. The results indicated that, using the same amount of material, the optimum sections offered up to 25% and 75% more flexural strength for laterally braced and unbraced CFS beams, respectively, while they also satisfied predefined manufacturing and design constraints. Therefore, the proposed optimisation methodology has the potential to prove useful in practical design applications.
Original languageEnglish
Pages (from-to)80-93
Number of pages14
JournalJournal of Constructional Steel Research
Volume122
Early online date23 Feb 2016
DOIs
Publication statusPublished - 1 Jul 2016

Fingerprint Dive into the research topics of 'Optimum design of cold-formed steel beams using Particle Swarm Optimisation method'. Together they form a unique fingerprint.

Cite this