摘要
基于时域振动响应的结构损伤检测方法因其便于实现在线监测受到了越来越多的关注。该文回顾了两种利用时域响应相关函数建立的结构特征向量(即内积向量及互相关函数幅值向量)及其对应的损伤检测方法。为了从时域响应相关函数中提取更多的结构健康信息,通过利用不同的结构响应组合,将上述两种结构特征向量扩展到了多种结构特征向量,并进一步采用数据融合理论,提出了检测精度更高的结构损伤检测方法。针对8层框架结构损伤检测的试验研究结果表明,该文方法可以对框架结构上的微小损伤进行定位。
Structural damage detection techniques using time domain vibration responses are of interests in structural health monitoring.Two structural characteristic vectors(SCVs)defined by cross correlation functions of time domain vibration responses,i.e.inner product vector(IPV)and cross correlation function amplitude vector(CorV),as well as the corresponding damage detection technique are reviewed.In order to utilize more information in the correlation functions,the two SCVs are then generalized to several derived SCVs,and the damage detection procedure using data fusion technique with these SCVs is also proposed to enhance the accuracy of the damage detection results.The damage detection results of an experimental 8-storey shear frame structure show that the small damage in the frame structure can be located by the proposed method.
作者
王慧
王乐
田润泽
WANG Hui;WANG Le;TIAN Run-ze(School of Science,Chang’an University,Xi’an 710064,China;School of Aeronautics,Northwestern Polytechnical University,Xi’an 710072,China)
出处
《工程力学》
EI
CSCD
北大核心
2020年第9期30-37,111,共9页
Engineering Mechanics
基金
陕西省自然科学基础研究计划项目(2018JQ1041,2018JM5178)
航空科学基金项目(20171553014)。
关键词
结构损伤检测
时域振动响应
相关性分析
内积向量
互相关函数幅值向量
数据融合
structural damage detection
time domain vibration response
correlation analysis
inner product vector(IPV)
cross correlation function amplitude vector(CorV)
data fusion
