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OPTIMIZATION IN THE COMPOSITION OF LAMINATED COMPOSITE STRUCTURES
Mariam Jaber  1@  , Helmut Schneeweiss  1, *@  , Joachim Bös  2, *@  , Tobias Melz  2, *@  
1 : BMW Group  -  Website
Research & Development -  Germany
2 : Technische Universität Darmstadt
* : Corresponding author

Composite materials are often used in the automotive industry to reduce acoustic vibrations and
the sound pressure in a car by the use of damping patches or changing car part fabrication. The
material make-up of these composites plays a big role in the effectiveness of damping treatments
and is therefore a large focus in the vehicle design process. In this study, a genetic algorithm
(GA) is used to test the different configurations of laminated composite structures and is compared
with the results of a particle swarm optimization (PSO) and gradient-based algorithms
that are performed with the same design variables. Aiming at producing a composite structure
containing a high modal loss factor, the design variables are considered as: 1) viscoelastic material
thickness, 2) fiber orientation angle, and 3) carbon layer thickness. The ultimate goal of
the designed composite structure is to create the optimal balance between minimum vibrations
and a minimum mass of the structure.


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