Optimum design of cold-formed steel beams using Particle Swarm Optimisation method
Ye, Jun and Hajirasouliha, Iman and Becque, Jurgen and Eslami, Abolfazl (2016) Optimum design of cold-formed steel beams using Particle Swarm Optimisation method. Journal of Constructional Steel Research, 122. pp. 80-93. ISSN 0143-974X (https://doi.org/10.1016/j.jcsr.2016.02.014)
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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.
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Item type: Article ID code: 81102 Dates: DateEvent31 July 2016Published23 February 2016Published Online13 February 2016AcceptedSubjects: Technology > Engineering (General). Civil engineering (General) Department: Faculty of Engineering > Civil and Environmental Engineering Depositing user: Pure Administrator Date deposited: 14 Jun 2022 12:50 Last modified: 11 Nov 2024 13:31 URI: https://strathprints.strath.ac.uk/id/eprint/81102