Metal sandwich panels with corrugated cores are an appealing industrial solution thanks to their high stiffness-to-mass ratio. However, such structures may suffer from poor acoustic insulation properties. Therefore, an increasing attention is being focused on combined structural-acoustic optimization to find a balance between these conflicting characteristics. Nevertheless, properly defining and handling acoustic constraints is not always straightforward and it is usually experienced-based. In this paper, an optimization process on a sandwichbased train floor component, i.e. the inner floor, is carried out to minimize its mass per unit area. First, the acoustic constraint, i.e. the weighted sound reduction index, is investigated and discussed. Secondly, different optimization methods, both gradient and non-gradient based, are used to solve the problem and the results are compared. Finally, an assessment of the various methods is given.
Handling of acoustic constraints in multidisciplinary optimization processes / Giorgio Bartolozzi; Marco Pierini; Ulf Orrenius. - ELETTRONICO. - (2012), pp. 3679-3693. (Intervento presentato al convegno International Conference on Noise and Vibration Engineering tenutosi a Leuven, B nel 17-19 September 2012).
Handling of acoustic constraints in multidisciplinary optimization processes
BARTOLOZZI, GIORGIO;PIERINI, MARCO;
2012
Abstract
Metal sandwich panels with corrugated cores are an appealing industrial solution thanks to their high stiffness-to-mass ratio. However, such structures may suffer from poor acoustic insulation properties. Therefore, an increasing attention is being focused on combined structural-acoustic optimization to find a balance between these conflicting characteristics. Nevertheless, properly defining and handling acoustic constraints is not always straightforward and it is usually experienced-based. In this paper, an optimization process on a sandwichbased train floor component, i.e. the inner floor, is carried out to minimize its mass per unit area. First, the acoustic constraint, i.e. the weighted sound reduction index, is investigated and discussed. Secondly, different optimization methods, both gradient and non-gradient based, are used to solve the problem and the results are compared. Finally, an assessment of the various methods is given.File | Dimensione | Formato | |
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