Multiple objective optimisation of composite sandwich structures for rail vehicle floor panels |
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Authors: | Craig W Hudson Joe J CarruthersA Mark Robinson |
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Affiliation: | NewRail, Newcastle University, Newcastle upon Tyne, NE1 7RU, England, UK |
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Abstract: | 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. |
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Keywords: | Sandwich material Ant colony optimisation (ACO) Rail vehicle Floor panel |
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