期刊
ADVANCES IN FRACTURE AND DAMAGE MECHANICS X
卷 488-489, 期 -, 页码 767-770出版社
TRANS TECH PUBLICATIONS LTD
DOI: 10.4028/www.scientific.net/KEM.488-489.767
关键词
impact; structural health monitoring; finite element method; artificial neural network
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.
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