Application of Artificial Neural Network to Predict the Static Load on an Aircraft Rib

Samson Cooper, Ramin Amali, Siamak Noroozi

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

Aircraft wing structures are subjected to different types of loads such
as static and dynamic loads throughout their life span. A methodology was developed to predict the static load applied on a wing rib without load cells using
Artificial Neural Network (ANN). In conjunction with the finite element modelling
of the rib, a classic two layer feed-forward networks were created and
trained on MATLAB using the back-propagation algorithm. The strain values
obtained from the static loading experiment was used as the input data for the
network training and the applied load was set as the output. The results obtained
from the ANN showed that this method can be used to predict the static load
applied on the wing rib to an accuracy of 92%.
Original languageEnglish
Title of host publicationIFIP International Federation for Information Processing 2014
PublisherSpringer Berlin Heidelberg
Pages576
Number of pages584
Volume436
ISBN (Electronic)978-3-662-44654-6
ISBN (Print)978-3-662-44653-9
Publication statusPublished - 22 Sep 2014

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