Real-time load determination for in-service components using photostress analysis and artificial neural networks in tandem
This data was imported from DBLP:
Editors: Arabnia, H.R., Joshua, R. and Mun, Y.
Publisher: CSREA Press
This data was imported from Scopus:
In this study, an Artificial Neural Network (ANN) has been trained to determine the applied loads on a mechanical component using Photoelastic fringe orders. Two different beam configurations were used to demonstrate this idea, one beam was subjected to pure bending and the other subjected to four non-symmetrical and random loads. These beams were fabricated from birefringent material. In all cases the inverse method approach accurately predicted the loading based on the fringe order.