基于静力测量数据的桥梁结构损伤定位研究  

Damage Detection of Bridge Based on Static Measurement Data Ⅰ:Damage Location

作　　者：陈孝珍[1] 赵冰[1] 朱宏平[2] 陈传尧[2] 

机构地区：[1]南阳理工学院,河南南阳473004 [2]华中科技大学土木工程与力学学院,武汉430074

出　　处：《三峡大学学报（自然科学版）》2006年第5期404-408,434,共6页Journal of China Three Gorges University：Natural Sciences

基　　金：国家自然科学基金资助(50378041);博士生专项基金资助(20030487016)

摘　　要：基于灰色理论的相关性分析方法将静态位移曲率置信因子SDCACi应用到大型桥梁结构的静力损伤识别中,通过该因子沿桥的横向节点、纵向节点的变化曲线实现了对桥梁结构损伤的准确定位.由识别结果可以证明:不论测量数据(用有限元仿真计算并加上了一个正态分布的随机扰动考虑测量误差)的多少,该方法对结构中的单损伤和多损伤都能进行准确的定位,因此该方法在大型结构及复杂结构的损伤识别中具有广阔的应用前景.A new structural damage identification method using limited test static displ grey relation theory is applied to the damage detection of the large scale bridge. The d acement based on the isplacement curvature and static displacement curvature assurance coefficient is defined and used to locate damage in the structure. A numerical example of a two-fixed bridge with single or multiple damages is used to examine the capability of the proposed method to localize and identify damages. data are also discussed. The numerical results showed rectly through static displacement curvature assurance The factors of measurement noise and incomplete test that the damage in the structure can be localized corcoefficient, regardless of the number of measured dis- placement nodes. This proposed method only requires limited static test data, which is easily available in practice, and has wide applications in structural damage detection.

关 键 词：静态位移曲率置信因子 静力损伤识别 桥梁结构 

分 类 号：U441[建筑科学—桥梁与隧道工程]