4.2 Article

Homogenisation metamodelling of perforated plates

期刊

STRAIN
卷 40, 期 3, 页码 103-112

出版社

BLACKWELL PUBLISHING LTD
DOI: 10.1111/j.1475-1305.2004.00137.x

关键词

artificial neural network/multi-layer perceptron; finite element-based homogenisation

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据