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Homogenisation Metamodelling of Perforated Plates
Author(s) -
Lew T. L.,
Scarpa F.,
Worden K.
Publication year - 2004
Publication title -
strain
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.477
H-Index - 47
eISSN - 1475-1305
pISSN - 0039-2103
DOI - 10.1111/j.1475-1305.2004.00137.x
Subject(s) - metamodeling , finite element method , composite number , artificial neural network , code (set theory) , computer science , homogenization (climate) , materials science , structural engineering , engineering , algorithm , artificial intelligence , programming language , set (abstract data type) , biodiversity , ecology , biology
The use of finite element (FE)‐based homogenisation has improved the study of composite material properties. However, it involves enormous computational effort when implemented in engineering design problems. Therefore an artificial neural network (ANN) surrogate model is proposed here to avoid this issue. In this study, a numerical homogenisation code was developed based on a commercial FE package. It is used to develop the ANN metamodel for an individual composite structure. The effectiveness of the metamodel was examined through an analytical optimisation procedure.