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High-order, closely-spaced modal parameter estimation using wavelet analysis

机译:基于小波分析的高阶,近距离模态参数估计

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摘要

This study examines the wavelet transform for output-only system identification of ambient excited engineering structures with emphasis on its utilization for modal parameter estimation of high-order and closely-spaced modes. Sophisticated time-frequency resolution analysis has been carried out by employing the modified complex Morlet wavelet function for better adaption and flexibility of the time-frequency resolution to extract two closely-spaced frequencies. Furthermore, bandwidth refinement techniques such as a bandwidth resolution adaptation, a broadband filtering technique and a narrowband filtering one have been proposed in the study for the special treatments of high-order and closely-spaced modal parameter estimation. Ambient responses of a 5-story steel frame building have been used in the numerical example, using the proposed bandwidth refinement techniques, for estimating the modal parameters of the high-order and closely-spaced modes. The first five natural frequencies and damping ratios of the structure have been estimated; furthermore, the comparison among the various proposed bandwidth refinement techniques has also been examined.
机译:本文研究了小波变换,仅用于环境激励工程结构的仅输出系统识别,重点在于将其用于高阶和紧密间隔模式的模态参数估计。通过使用改进的复Morlet小波函数进行了复杂的时频分辨率分析,以更好地适应时频分辨率并提高其灵活性,以提取两个紧密间隔的频率。此外,在研究中提出了诸如带宽分辨率自适应,宽带滤波技术和窄带滤波之类的带宽细化技术,用于高阶和紧密间隔的模态参数估计的特殊处理。使用建议的带宽优化技术,在数值示例中使用了5层钢框架建筑的环境响应,以估算高阶和紧密间隔模式的模态参数。已经估计出结构的前五个固有频率和阻尼比;此外,还研究了各种提议的带宽改进技术之间的比较。

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