Premium
Metamodelling of auxetic cellular solids with differential evolution optimisation
Author(s) -
Lew Tze Ling,
Scarpa Fabrizio,
Spencer Andrew,
Worden Keith
Publication year - 2008
Publication title -
physica status solidi (b)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.51
H-Index - 109
eISSN - 1521-3951
pISSN - 0370-1972
DOI - 10.1002/pssb.200880271
Subject(s) - metamodeling , differential evolution , computation , computer science , auxetics , differential (mechanical device) , hexagonal crystal system , genetic programming , mathematical optimization , artificial neural network , scale (ratio) , genetic algorithm , algorithm , computational science , mathematics , artificial intelligence , materials science , engineering , programming language , physics , crystallography , chemistry , quantum mechanics , composite material , aerospace engineering
Numerical simulations of mechanical properties involve significant computational effort when implemented in large scale engineering design problems. 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 model (metamodel), characterised by lower CPU times usage. Metamodels developed using Genetic Programming and Artificial Neural Networks have been developed in conjunction with a Differential Evolution (DE) optimisation framework, to identify optimal shape functions for auxetic honeycombs, both for hexagonal and hexachiral configurations. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)