Self-shape optimisation principles: Optimisation of section capacity for thin-walled profiles

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Title Self-shape optimisation principles: Optimisation of section capacity for thin-walled profiles
Author Gilbert, Benoit; Teh, Lip H.; Guan, Hong
Journal Name Thin-Walled Structures
Year Published 2012
Place of publication United Kingdom
Publisher Elsevier
Abstract For economical benefits, optimisation of mass-produced structural steel products has been widely researched. The objective is to minimise the quantity of material used without sacrificing the strength and practicality of the structural members. Current research focuses on optimising the main dimensions of conventional cross-sectional shapes but rarely considers discovering new optimum shapes. This paper introduces the concepts of a new optimisation method that enables the cross-section to self-shape to an optimum by using the evolution and adaptation benefits of Genetic Algorithm (GA). The feasibility and the accuracy of the method are verified by implementing it to optimise the section capacity of thin-walled profiles. Specifically, the profiles are optimised against simple parameters, for which analytical solutions are known, namely the optimisation of doubly-symmetric closed profiles. Results show that the cross-section accurately self-shapes to its optimum in a low number of generations. Factors influencing the convergence are presented in this paper. The method is extended to optimisation of cold-formed steel open section columns in the companion paper.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1016/j.tws.2012.06.009
Copyright Statement Copyright 2012 Elsevier B.V. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Volume 60
Page from 194
Page to 204
ISSN 0263-8231
Date Accessioned 2012-08-27
Date Available 2013-06-13T23:33:04Z
Language en_US
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Structural Engineering
URI http://hdl.handle.net/10072/47904
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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