The objective of this theme is to non-parameter identify and to compare the dynamic properties of the Lion-head river bridge located at Chia-I. The east bound of the bridge is designed and constructed as conventional, and the west bound as bridge isolated by lead-rubber bearings. Signals collected from the accelerometers installed on the bridge by the Central Weather Bureau will be processed. Back-propagation algorithm of Neural networks will be adopted and the nonlinear behavior of lead-rubber bearings will be simulated.
Non-Parameter System Identification of Isolated Bridge by Neural Networks Algorithm
- Views Icon Views
- Share Icon Share
- Search Site
Chiang, WL, Pu, JP, & Liu, TY. "Non-Parameter System Identification of Isolated Bridge by Neural Networks Algorithm." Proceedings of the ASME 2007 Pressure Vessels and Piping Conference. Volume 8: Seismic Engineering. San Antonio, Texas, USA. July 22–26, 2007. pp. 155-160. ASME. https://doi.org/10.1115/PVP2007-26589
Download citation file: