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复杂追踪算法结合EEMD识别结构损伤 被引量:1

Damage identification based on complexity pursuit and EEMD
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摘要 结构损伤会引起结构振动信号的突变,而该突变信号会淹没于环境噪声信号中。为此,文章将复杂追踪理论(CP)引入结构损伤识别领域,将损伤识别问题转化为突变特征提取问题。提出一种复杂追踪结合集合经验模态分解(EEMD)识别结构损伤的新方法,首先采用EEMD预处理结构振动信号,接着将分解得到的本征模函数(IMF)作为混合信号输入CP模型中,提取出包含损伤特征的本征模函数,进而识别出结构损伤发生的时刻及位置。最后,通过对环境激励下六自由度质量-弹簧系统和地震激励下三层框架模型的数值分析。结果表明,该方法能够准确有效地识别结构损伤异常时刻与位置。 The vibration signal of structure changes suddenly when the structure damaged, and the changes always are submerged in the ambient noise. So, complexity pursuit(CP) is introduced into structural damage identification, and damage identification issue can be changed into the mutation feature extraction issue. A new method of structural damage identification based on CP and EE preprocessed by EEMD. Then the intrinsic mode fun tures, and damage novelty signals are extracted, ical models of 6-dof mass-spring system are built, the analysis results show that and MD is presented. Firstly, the measured structural signals are ction(IMF) gained from EEMD is introduced into CP as mixdamage instant and location are revealed. Finally, the numerunder ambient excitation and the three-story-frame under seismic excitation the proposed method can identify damage instant and location effectively.
作者 常军 尤传雨
出处 《地震工程与工程振动》 CSCD 北大核心 2017年第5期146-154,共9页 Earthquake Engineering and Engineering Dynamics
基金 江苏省自然科学基金资助项目(BK20141180) 江苏省结构工程重点实验室开放课题(DZ1405) 江苏省建设系统科技项目(2015ZD77)~~
关键词 盲源分离 复杂追踪 集合经验模态分解 结构损伤识别 信号分布向量 blind source separation complexity pursuit ensemble empirical mode decomposition structural damage identification source distribution vector
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