Cable bridge modal parameter statistical analysis under the time varying environment coupled with damage

被引：0
|
作者：
Yang, Ou [1 ]
Liu, Yang [2 ]
Li, Hui [1 ]
Ou, Jin-Ping [1 ,3 ]
机构：
[1] School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China
[2] School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
[3] School of Civil Engineering, Dalian University of Technology, Dalian 116024, China
来源：
Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics | 2010年 / 27卷 / 03期
关键词：
Neural networks - Statistical methods - Modal analysis - Cables - Damage detection - Damping - Parameter estimation - Composite beams and girders;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Statistical analysis for modal frequencies and damping ratios of a cable-stayed bridge is performed accounting for the coupled effects of time varying environment and damage. Firstly, ERA combined NExT method is utilized to identify structural frequency and damping ratio. Than, BP neural network is employed to establish the relationship between temperature and structural modal parameters using long-term monitoring data. And then, the probability model of variation in structural modal parameter by temperature and noise is obtained. Finally, structure damage is identified by comparing the intersection probability ratio of modal parameter. The proposed approach in this study is verified.
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页码：457 / 463
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