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Multiple objective optimisation of composite sandwich structures for rail vehicle floor panels

Lookup NU author(s): Craig Hudson, Dr Joe Carruthers, Professor Mark RobinsonORCiD



This paper describes the application of an ant colony optimisation (ACO) algorithm to the multiple objective optimisation of a rail vehicle floor sandwich panel. The ACO algorithm was used to search a design space that was defined by sandwich theory and a material database in order to identify constructions that were optimal with respect to low mass and low cost. A broad range of mass and cost optimal sandwich material designs were identified successfully. These provided mass savings of up to 60% compared to existing plywood-based flooring systems, although mass savings above 40% had an associated cost premium. (C) 2009 Elsevier Ltd. All rights reserved.

Publication metadata

Author(s): Hudson CW, Carruthers JJ, Robinson AM

Publication type: Article

Publication status: Published

Journal: Composite Structures

Year: 2010

Volume: 92

Issue: 9

Pages: 2077-2082

Date deposited: 09/06/2010

ISSN (print): 0263-8223

ISSN (electronic): 1879-1085

Publisher: Elsevier Ltd


DOI: 10.1016/j.compstruct.2009.10.018


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