Surface response optimisation of auxetic homogenised cellular plates using genetic programming

• Autorzy: Lew T. L. , Spencer A. B. , Scarpa F. , Worden K.
• Języki publikacji: EN

Abstrakty

EN

This paper describes an approach based on Genetic Programming to perform the meta-modelling of cellular structure properties with in-plane auxetic behaviour. Common procedures to design microstructure topologies with complex shape is to use analytical and/or Finite Element (FE) models and quantify the variability of their homogenised mechanical properties versus internal cell pararneters. For the FE case, the large number of computations involved can rule out many approaches due to the expense of carrying out many runs. One way of circumnavigating this problem is to replace the true system by an approximate surrogate/replacement model, which is fast-running compared to the original. In traditional approaches using response surfaces a simple least-squares multinomial model is often adopted. The object of this paper is to extend the class of possible models considerably by carrying out a general symbolic regression using a Genetic Programming approach. The approach is demonstrated on the optimisation of the unit cell of centresymmetric auxetic cellular solids composing a simply supported plate for maximum central deflection under transverse uniform pressure.

• Wydawca: Institute of Bioorganic Chemistry Scientific Publishers OWN, Polish Academy of Sciences
• Czasopismo: Computational Methods in Science and Technology
• Rocznik: 2004
• Tom: Vol. 10, nr 2
• Strony: 169--181
• Opis fizyczny: Bibliogr. 25 poz., rys., wykr.

Twórcy

autor

Lew T. L.

• Dynamics Research Group, Department of Mechanical Engineering University of Sheffield, Mappin Street, SI 3JD Sheffield, UK, phone: [phone], fax: [phone]

autor

Spencer A. B.

• Dynamics Research Group, Department of Mechanical Engineering University of Sheffield, Mappin Street, SI 3JD Sheffield, UK

autor

Scarpa F.

• Dynamics Research Group, Department of Mechanical Engineering University of Sheffield, Mappin Street, SI 3JD Sheffield, UK

autor

Worden K.

• Dynamics Research Group, Department of Mechanical Engineering University of Sheffield, Mappin Street, SI 3JD Sheffield, UK

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