摘要
提出了随机振动结构基于测点动力响应的自相关函数幅值向量(Auto-Correlation Function Amplitude Vector,ACFA)的损伤识别方法.将完好结构在两个随机激励下的两组自相关函数幅值向量之间的互相关系数作为损伤识别的基准值,损伤结构的ACFA与完好结构的ACFA之间的互相关系数与基准值相比有明显的降低,由此可以判别结构发生了损伤.计算结构损伤前后各测点自相关函数峰值的变化率,波动程度最大的相邻两个测点对应着损伤单元的两个节点,确定了结构的损伤位置.通过一榀木框架有限元模型验证了该方法的有效性,为研究古建筑木结构的损伤识别与定位提供了理论基础.
A damage identification method of auto-correlation function amplitude vector(ACFA)based on dynamic response of a random vibration structure is established.The cross correlation coefficients of the intact structure between the two ACFAs under two random excitations were taken as the reference values.There is significant decrease when compared the cross correlation coefficient between the ACF As of the damage and that of the intact struc tures with the reference values.Therefore,damage of the structure can be identified.The change rate of the peak value of auto-correlation function of each measuring point between the damage and intact structures was obtained.Then the two adjacent measuring points with the highest fluctuation,which determines the damaged location of the structure,correspond to the two nodes of the damaged unit.Effectiveness of this method was verified by a finite element model of a wood frame,which provides a theoretical basis for the study of damage identification and location of ancient timber structures.
作者
侯艳芳
胡卫兵
杨佳
HOU Yanfang;HU Weibing;YANG Jia(School of Civil Engincering,Xi'an University of Architecture and Technology,Xi'an 710055,China;School of Civil Enginecring,Shaanxi Polytechnic Institute,Xianyang 712000,China)
出处
《结构工程师》
北大核心
2020年第3期48-55,共8页
Structural Engineers
基金
国家自然科学基金(51678475)
陕西省自然科学基础研究计划-重点项目(2018JZ5002)。
关键词
古木结构
自相关函数
互相关系数
损伤识别
损伤定位
ancient timber structure
auto-correlation function
cross correlation coefficient
damage identification
damage location
