The construction and building sectors are currently responsible globally for a significant
share of the total energy consumption and energy-related carbon dioxide emissions. The …

In this paper, a machine-learning optimisation framework for cold-formed steel (CFS) face-to-
face built-up columns was proposed using Deep Belief Network (DBN) and Genetic …

This study aims to improve the loading capacities of cold-formed steel (CFS) built-up section
columns by optimizing cross-sectional geometric dimensions with constant material …

Industrial storage systems are used to store, stock, and distribute manufactured products.
One of their main advantages is that they can better use spaces destined for storage. Rack …

The use of cold-formed steel (CFS) elements in residential and industrial buildings is widely
gaining popularity due to their ability to provide cost-effective and sustainable solutions. A …

This study aims to present a practical method for optimization of symmetric cold-formed steel
(CFS) beam-column members using Genetic Algorithm (GA). To eliminate impractical cross …

This paper reports the development, numerical implementation and application of a novel
methodology to perform a multi-objective stiffening optimisation of conventional cold-formed …

Cold-formed steel (CFS) elements are increasingly used as main structural members in
modern construction practice. While flexibility of CFS cross-sectional shape allows achieving …

Flexibility in the manufacturing of cold-formed steel (CFS) cross-sectional shapes provides a
unique opportunity to improve the load-carrying capacity of these elements, leading to more …

This paper describes an experimental program carried out at the University of Sheffield to
investigate the interaction of local and distortional buckling in cold-formed steel lipped …