On a novel approach for optimizing composite materials panel using surrogate models

S. De Guido, Didem Akcay-Perdahcioglu, Hubertus J.M. Geijselaers, Andries de Boer

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Abstract

This paper describes an optimization procedure to design thermoplastic composite panels under axial compressive load conditions. Minimum weight is the goal. The panel design is subject to buckling constraints. The presence of the bending-twisting coupling and of particular boundary conditions does not allow an analytical solution for the critical buckling load. Surrogate models are used to approximate the buckling response of the plate in a fast and reliable way. Therefore, two surrogate models are compared to study their effectiveness in composite optimization. The first one is a linear approximation based on the buckling constitutive equation. The second consists in the application of the Kriging surrogate. Constraints given from practical blending rules are also introduced in the optimization. Discrete values of ply thicknesses is a requirement. An ad-hoc discrete optimization strategy is developed, which enables to handle discrete variables.
Original languageEnglish
Title of host publicationProceedings of the 3rd ECCOMAS
EditorsR. Rolfes, E.L. Jansen
Place of PublicationHannover
PublisherLeibniz Universität
Pages439-446
ISBN (Print)978-3-00-035855-5
Publication statusPublished - 21 Sep 2011
Event3rd ECCOMAS Thermatic Conference on Mechanical Response of Composites 2011 - Hannover, Germany
Duration: 21 Sep 201123 Sep 2011
Conference number: 3

Conference

Conference3rd ECCOMAS Thermatic Conference on Mechanical Response of Composites 2011
Abbreviated titleECCOMAS 2011
CountryGermany
CityHannover
Period21/09/1123/09/11

Keywords

  • IR-78095
  • Thermoplastic Composite Panel
  • Discrete Optimization
  • Buckling
  • METIS-278352
  • continuousoptimization
  • Surrogate Modeling

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  • Cite this

    De Guido, S., Akcay-Perdahcioglu, D., Geijselaers, H. J. M., & de Boer, A. (2011). On a novel approach for optimizing composite materials panel using surrogate models. In R. Rolfes, & E. L. Jansen (Eds.), Proceedings of the 3rd ECCOMAS (pp. 439-446). Hannover: Leibniz Universität.