Non-parameter system identification of isolated bridge by neural networks algorithm

被引：0
|
作者：
Chiang, W. L. [1 ]
Pu, J. P. [1 ]
Liu, T. Y. [1 ]
机构：
[1] Natl Cent Univ, Dept Civil Engn, Changli, Taiwan
来源：
PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE 2007, VOL 8: SEISMIC ENGINEERING | 2007年
关键词：
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
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.
引用
收藏
页码：155 / 160
页数：6
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