Study on Structural Damage Detection Using RBF Network
2014 ◽
Vol 578-579
◽
pp. 1125-1128
Keyword(s):
Based on mode shape, a new parameter was put forward—mode shape curvature ratio, for detecting structure damages. And it was also the input vector of the RBF neural network. Then through finite element analysis and calculating, the training and forecasting samples were got for the network. The trained neural network can identify the damage location and degree of the frame structure. It proved that this method is simple and valid.
2013 ◽
Vol 385-386
◽
pp. 589-592
2013 ◽
Vol 805-806
◽
pp. 1421-1424
Keyword(s):
2012 ◽
Vol 490-495
◽
pp. 688-692