[1]刘景良,高源,骆勇鹏,等.采用解析模态分解和小波变换的损伤识别方法[J].华侨大学学报(自然科学版),2017,38(5):643-648.[doi:10.11830/ISSN.1000-5013.201705022]
　LIU Jingliang,GAO Yuan,LUO Yongpeng,et al.Structural Damage Detection Using Analytical Mode Decomposition and Wavelet Transform[J].Journal of Huaqiao University(Natural Science),2017,38(5):643-648.[doi:10.11830/ISSN.1000-5013.201705022]
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采用解析模态分解和小波变换的损伤识别方法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第38卷
期数:
2017年第5期
页码:
643-648
栏目:
出版日期:
2017-09-20

文章信息/Info

Title:
Structural Damage Detection Using Analytical Mode Decomposition and Wavelet Transform
文章编号:
1000-5013(2017)05-0643-06
作者:
刘景良1;  高源1;  骆勇鹏1;  郑文婷2
1. 福建农林大学 交通与土木工程学院, 福建 福州 350002;2. 福建工程学院 土木工程学院, 福建 福州 350118
Author(s):
LIU Jingliang1;  GAO Yuan1;  LUO Yongpeng1;  ZHENG Wengting2
1. School of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China; 2. School of Civil Engineering, Fujian University of Technology, Fuzhou 350118, China
关键词:
损伤识别;  小波变换;  解析模态分解;  一阶本征函数
Keywords:
damage detection;  wavelet transform;  analytical mode decomposition;  first order intrinsic mode function
分类号:
TU311.3
DOI:
10.11830/ISSN.1000-5013.201705022
文献标志码:
A
摘要:
针对希尔伯特-黄变换(HHT)在信号处理中存在的模态混叠现象,引入解析模态分解定理(AMD)提取时变结构响应的一阶本征函数,并构建一阶本征函数能量比指标识别结构的损伤位置.从损伤位置处的响应信号出发,引入连续小波变换和时间窗思想,提出一阶本征函数小波能量变化率指标来预测结构的损伤演化过程.通过一个刚度突变和线性变化的三层剪切型结构数值算例,对一阶本征函数能量比和一阶本征函数小波能量变化率指标进行验证.结果表明:所提出的指标能够有效识别结构的损伤位置和损伤时间.
Abstract:
Due to the problem of overlapping frequency existed in Hilbert-Huang transform(HHT), analytical mode decomposition theorem is introduced to extract the first order intrinsic mode function(IMF)from responses of time-varying structures, then the first order IMF energy ratio index is established to identify damage locations. Based on the response signal in damage location, continuous wavelet transform and time window are introduced to build the index of the first order IMF wavelet energy variation rate in order to predict the evolution of structural damage. A numerical example of three-story shear structure with abruptly and linearly varying stiffness is presented to verify the effectiveness of the two proposed indexes, and the results demonstrate that the proposed damage indexes can effectively detect the locations and time of structure damage.

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备注/Memo

备注/Memo:
收稿日期: 2017-05-13
通信作者: 刘景良(1983-),男,讲师,博士,主要从事桥梁结构健康监测的研究.E-mail:liujingliang@fafu.edu.cn.
基金项目: 国家自然科学青年基金资助项目(51608122); 福建省青年科技人才创新项目(2016J05111); 福建农林大学青年教师科研基金资助项目(113-61201405104)
更新日期/Last Update: 2017-09-20