Reference : New developments for an efficient solution of the discrete material topology optimiza...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Materials science & engineering
Engineering, computing & technology : Mechanical engineering
New developments for an efficient solution of the discrete material topology optimization of composite structures
[en] Nouveaux développements pour une solution efficace de l'optimisation topology discrète des matériaux dans les structures composites
Duysinx, Pierre mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Ingénierie des véhicules terrestres >]
Gao, Tong mailto [Université de Liège - ULg > Aérospatiale et Mécanique > LTAS - Automotive Engineering > >]
Zhang, Weihong [Northwestern Polytechnic University, Xi'an, China > > > >]
Fleury, Claude mailto [Université de Liège - ULg > Aérospatiale et Mécanique > > >]
Bruyneel, Michaël mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Département d'aérospatiale et mécanique >]
Composite materials for structural performance: towards the higher limits
[fr] Matéraiux composites pour des performances structurales: vers les limites supérieures
Faester, S.
Juul Jensen, D.
Ralph, B.
Sorensen, B. F.
32nd RISO International Symposium on Material Science
du 5 au 9 septembre 2011
Riso National Laboratory for Sustainable Energy - Technical University of Denmark
[en] Composite optimization ; Material selection ; Topology optimization ; Discrete Material Optimization ; Binary Coded Parameterization
[en] Optimal design of composite structures can be formulated as an optimal selection of material in a list of different laminates. Based on the seminal work by Stegmann and Lund (2005), the optimal problem can be stated as a topology optimization problem with multiple materials. The research work carries out a large investigation of different interpolation and penalization schemes for the optimal material selection problem. Besides the classical Design Material Optimization (DMO) scheme and the recent Shape Function with Penalization (SFP) scheme by Bruyneel (2011), the research introduces a generalization of the SFP approach using a bi-value coding parameterization (BCP) (Gao, Zhang, and Duysinx, 2011) The paper provides a comparison of the different parameterization approaches. It also proposes alternative penalization schemes and it investigates the effect of the power penalization. Finally, we discuss the solution aspects in the perspective of solving large-scale industrial applications. The conclusions are illustrated by a numerical application for the compliance maximization of an in-plane composite ply.
Région wallonne : Direction générale des Technologies, de la Recherche et de l'Energie - DGTRE
Projet VIRTUALCOMP supported by the Walloon Region of Belgium and SKYWIN (Aerospace Cluster of Wallonia)
Researchers ; Professionals

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