Paper Title:
Impact Detection Using Artificial Neural Networks
  Abstract

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.

  Info
Periodical
Key Engineering Materials (Volumes 488-489)
Edited by
Z. Tonković and M.H. Aliabadi
Pages
767-770
DOI
10.4028/www.scientific.net/KEM.488-489.767
Citation
M. Ghajari, Z. Sharif-Khodaei, M.H. Aliabadi, "Impact Detection Using Artificial Neural Networks", Key Engineering Materials, Vols. 488-489, pp. 767-770, 2012
Online since
September 2011
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Price
$32.00
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