Shape optimisation of cold-formed steel profiles with manufacturing constraints - Part I: algorithm
RIS ID
99738
Abstract
This paper presents a Genetic Algorithm optimisation method with manufacturing constraints for shape optimisation of cold-formed steel (CFS) profiles. Previous studies on unconstrained shape optimisation of CFS cross- sections, where the sole aim was to optimise the weight-to-capacity ratio of the profiles, yielded cross-sections that cannot be manufactured. Current cold- forming processes, such as roll-forming and brake-pressing, have limited ability to form continuously curved surfaces without discrete bends. This paper defines simple manufacturing rules and introduces them into the evolutionary algorithm. Augmented Lagrangian constraint-handling technique, with equality and inequality constrained violations, is used to avoid ill-conditioned problems. The ability and accuracy of the algorithm to handle the defined manufacturing constraints are verified by implementing it to optimise the section capacity of bisymmetric closed thin-walled profiles, for which an analytical solution is known.
Publication Details
Wang, B., Gilbert, B. P., Molinier, A. M., Guan, H. & Teh, L. H. (2014). Shape optimisation of cold-formed steel profiles with manufacturing constraints - Part I: algorithm. In R. A. LaBoube & W. Yu (Eds.), 22nd International Specialty Conference on Cold-Formed Steel Structures: Recent Research and Developments in Cold-Formed Steel Design and Construction (pp. 21-36). United States: Missouri University of Science and Technology.