利用小波分析方法识别结构模态参数  

Identification of structural modal parameters by wavelet transformation

作　　者：张华智[1] 冯毅芳[1] 

机构地区：[1]黄石理工学院土木建筑学院,湖北黄石435003

出　　处：《四川建筑科学研究》2007年第6期24-29,共6页Sichuan Building Science

摘　　要：在高层建筑抗震、抗风、健康监测及损伤诊断等研究中,结构模态参数是非常重要的参数之一。介绍了环境激励下基于小波分析的模态参数识别方法,并对实际结构振动响应信号进行小波分析。有效地识别了结构的固有模态参数,并同传统傅里叶变换、短时傅里叶变换的结构相比较,证实了小波分析方法在处理随机信号方面的优越性。另外,使用小波分析方法对测试信号进行降噪处理。分析结果表明,小波方法降噪能有效抑制噪音,还原真实信号。The structural modal parameters is one of the important parameters in the study of the seismic design, wind-resistant design and health assessment. This paper presents an approach of wavelet analysis for the identification of structural modal parameters under environmental excitation, and its application to the actual structure. The application shows that this method can identify the structural model parameter. The comparison of results between Fourier Transformation （FT） , Short-Time Fourier Transformation （STFT） and Wavelet Transformation indicates that the wavelet-based method is able to extract more accurate characteristics more effectively and efficiently. Furthermore, the denoising technology based on wavelet analysis is introduced. The denoising results show that the referred technology can filter the crude signals by restraining high frequency component and extruding low frequency.

关 键 词：傅里叶变换 短时傅里叶变换 小波变换 降噪 模态参数 

分 类 号：TU311.3[建筑科学—结构工程]