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Maximizing structure performances of a sandwich panel with hybrid composite skins using particle swarm optimization algorithm Hee Keun Cho
The Journal of Mechanical Science and Technology, vol. 23, no. 12, pp.3143-3152, 2009
Abstract : A sandwich panel, composed of hybrid laminate skins of AL (aluminum)-CFRP- GFRP and aluminum honeycomb
core, was optimized for maximizing the structural performance. Stacking sequence of the three different materials
comprising the hybrid laminate skins and individual ply angles are taken as design variables in the present optimization
problem. Synergizing a particle swarm optimization (PSO) algorithm method with a specially developed FEM program
enables one to optimally decide the design variables and thereby significantly improve the sandwich performance. The
present technique applying PSO to a hybrid sandwich in conjunction with FEA has extended the application area of
optimization with a complex honeycomb sandwich that is not possible by the conventional method.
Keyword :
Composite material; Finite element analysis (FEA); Optimization; Sandwich
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