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基于虚拟响应信号的结构参数时域辨识研究
引用本文:谢献忠,易伟建,王修勇,禹见达.基于虚拟响应信号的结构参数时域辨识研究[J].计算力学学报,2007,24(6):859-864.
作者姓名:谢献忠  易伟建  王修勇  禹见达
作者单位:1. 湖南科技大学,土木工程学院,湘潭,411201
2. 湖南大学,土木工程学院,长沙,410082
基金项目:湖南省教育厅青年基金 , 国家自然科学基金
摘    要:在充分考虑线性动力系统的时域响应特性以及小波包分析的频率空间剖分特性的基础上,提出了一种基于虚拟响应信息提取的信号去噪新方法.虚拟响应虽然没有在结构动力检测过程中真实发生,但却是在某种激励下可以实现的一个响应,因此,根据虚拟响应信息同样可以进行结构系统的动力识别.数值研究表明,对于地脉动响应这种有效信号频带与噪声频带相互覆盖的低信噪比信号而言,小波阈值去噪法已无能为力,而基于虚拟响应信息提取的信号去噪方法则有较好的去噪效果.

关 键 词:参数识别  时域  信号去噪  虚拟响应  小波包分析  虚拟  动响应  信号频带  结构参数  时域辨识  数值研究  response  virtual  based  time  domain  parameter  identification  structural  效果  阈值去噪法  法则  小波  低信噪比  覆盖  噪声  地脉
文章编号:1007-4708(2007)06-0859-05
收稿时间:2006-01-13
修稿时间:2006-08-19

Study on structural parameter identification in time domain based on virtual response
XIE Xian-zhong,YI Wei-jian,WANG Xiu-yong,YU Jian-da.Study on structural parameter identification in time domain based on virtual response[J].Chinese Journal of Computational Mechanics,2007,24(6):859-864.
Authors:XIE Xian-zhong  YI Wei-jian  WANG Xiu-yong  YU Jian-da
Abstract:A new signal de-noising method based on virtual response information is proposed, which considers fully the response property of linear dynamic system in time domain and the property of frequency space partitioned by wavelet package ana certain excitation, virtual responses can lys be is. Being a kind of realizable responses of structure under a used to identify the structural dynamics system deservedly. Seismic response information is a batch of low of measurement noise. The new de-noising m slgna ethod 1-noise-ratio data, whose valid frequency zone is full proposed in this paper can eliminate efficiently the noise in seismic responses, while threshold value de-noislng method based on wavelet analysis is of no effect. It is illustrated by numerical examples that response information, and the identification error the stiffness parameters can be identified with virtual corresponds to the measurement noise in principle.
Keywords:parameter identification  time domain  signal de-noising  virtual response  wavelet package analysis
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