Optimum design of cold‐formed steel beams: particle swarm optimisation and numerical analysis

Perampalam, Gatheeshgar, Poologanathan, Keerthan, Gunalan, Shanmuganatha, Ye, Jun and Nagaratnam, Brabha (2019) Optimum design of cold‐formed steel beams: particle swarm optimisation and numerical analysis. ce/papers, 3 (3-4). pp. 205-210. ISSN 2509-7075

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.1002/cepa.1159


Cold‐formed steel (CFS) members, when subjected to optimisation, can significantly increase their ultimate load carrying capacity leading to a more economical and efficient structural system. This paper presents the details of an investigation on optimisation of CFS beams subjected to bending capacity and an investigation of shear and web crippling capacities of optimised sections. The optimisation was aimed to meet construction constraints reported in Eurocode 3 (EC3). In this research, 4 different CFS sections were considered including the introduction of 2 novel sections (Super Sigma and Smart Beam) which has closer shear center to the web and less susceptible to web buckling. The bending capacity of the available sections were obtained based on the effective width method reported in EC3, while the optimisation procedure was performed using particle swarm optimisation (PSO). The capacities of the optimised CFS beams were also obtained using the nonlinear finite element (FE) analysis and the FE results were compared with EC3. The FE results showed that the Smart beam and Super Sigma claim dual advantage of increase in section moment capacity and restrain against torsional effect than the conventional CFS channel sections with the same amount of material. These optimised cold formed steel beams can be employed in light gauge steel building constructions.

Item Type: Article
Subjects: H300 Mechanical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Ay Okpokam
Date Deposited: 27 Nov 2019 14:26
Last Modified: 27 Nov 2019 14:34
URI: http://nrl.northumbria.ac.uk/id/eprint/41622

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics