期刊
COMPOSITE STRUCTURES
卷 92, 期 9, 页码 2077-2082出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compstruct.2009.10.018
关键词
Sandwich material; Ant colony optimisation (ACO); Rail vehicle; Floor panel
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.
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