土木工程与管理学报2017，Vol.34Issue(4)：53-58,70,7.
连续梁桥支座损伤识别方法
Bearing Damage Detection of Continious Bridge
陈红霞 1狄方殿 1朱亚洲1
作者信息
- 1. 河北工业大学 土木与交通学院, 天津 300401
- 折叠
摘要
Abstract
Damaged bridge bearings have a huge impact on the safety of bridge structure.Taking the actual project as an example, the finite element model of continuous T-beam was established for numerical analysis, and the modal test was carried out, which is beneficial to the research on the quantitative analysis of the damage of the continuous T-beam bridge.A Gauss curvature mode correlation coefficient based method was proposed to estimate the state of bearings on the continous bridge.Experimental results indicatde that Gauss curvature mode correlation coefficients were obviously different between intact and damaged bearings, further achieving the purpose of damage location.And the Gauss curvature mode correlation coefficient decreased with increasing damage severity.On the basement, neural network was used to identify the damage severity of bearings.Eventually, the modal test proved that the method was practical.关键词
连续梁桥支座/损伤识别/自振频率/高斯曲率模态相关系数/神经网络Key words
continous bridgebearings/damage detection/natural frequency/gauss curvature mode correlation coefficient/neural network分类
交通工程引用本文复制引用
陈红霞,狄方殿,朱亚洲..连续梁桥支座损伤识别方法[J].土木工程与管理学报,2017,34(4):53-58,70,7.
