Reference : A bi-value coding parameterization scheme for the discrete optimal orientation design...
Scientific journals : Article
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/128631
A bi-value coding parameterization scheme for the discrete optimal orientation design of the composite laminate
English
Gao, Tong [Université de Liège - ULg > Département d'aérospatiale et mécanique > Ingénierie des véhicules terrestres >]
ZHANG, Weihong mailto [> >]
Duysinx, Pierre mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Ingénierie des véhicules terrestres >]
6-Jul-2012
International Journal for Numerical Methods in Engineering
Wiley
91
1
98-114
Yes (verified by ORBi)
International
0029-5981
1097-0207
Chichester
United Kingdom
[en] Composite optimization ; Topology optimization ; Material selection ; Optimal orientation ; Binary Coded Parameterization
[en] The discrete optimal orientation design of the composite laminate can be treated as a material selection problem dealt with by continuous topology optimization method. In this work, a new bi-value coding parameterization (BCP) scheme is proposed to this aim. The idea of the BCP scheme is to “code” each material phase using integer values of +1 and -1. Each available material phase has one unique “code” consisting of +1 and/or -1 assigned to design variables. Theoretical and numerical comparisons between the proposed BCP scheme and existing schemes show that the BCP has the advantage of an evident reduction of the number of design variables in logarithmic form. This is very beneficial when the number of candidate materials becomes important. Numerical tests with up to 36 candidate material orientations are illustrated for the first time to indicate the reliability and efficiency of the proposed scheme in solving this kind of problem. It proves that the BCP is an interesting and potential scheme to achieve the optimal orientations for large-scale design problems.
Projet Plan Marchal RW VIRTUALCOMP
Researchers
http://hdl.handle.net/2268/128631

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