Impact Detection using Artificial Neural Networks

被引：20

作者：

Ghajari, M. ^{[1
]}

Khodaei, Z. Sharif ^{[1
]}

Aliabadi, M. H. ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Aeronaut, London SW7 2AZ, England

来源：

ADVANCES IN FRACTURE AND DAMAGE MECHANICS X | 2012年 / 488-489卷

关键词：

impact; structural health monitoring; finite element method; artificial neural network; COMPOSITE-MATERIALS;

D O I：

10.4028/www.scientific.net/KEM.488-489.767

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this work, a number of impacts on a composite stiffened panel fitted with piezoceramic sensors were simulated with the finite element (FE) method. During impacts, the contact force history and strains at the sensors were recorded. These data were used to train, validate and test two artificial neural networks (ANN) for the prediction of the impact position and the peak of the impact force. The performance of the network for location detection has been promising but the other network should be further improved to provide acceptable predictions about the peak force.

引用

页码：767 / 770

页数：4

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