Journal
STRAIN
Volume 40, Issue 3, Pages 103-112Publisher
BLACKWELL PUBLISHING LTD
DOI: 10.1111/j.1475-1305.2004.00137.x
Keywords
artificial neural network/multi-layer perceptron; finite element-based homogenisation
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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.
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