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首页> 外文期刊>Computer-Aided Civil and Infrastructure Engineering >Blind Modal Identification in Frequency Domain Using Independent Component Analysis for High Damping Structures with Classical Damping
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Blind Modal Identification in Frequency Domain Using Independent Component Analysis for High Damping Structures with Classical Damping

机译:基于独立阻尼分析的经典阻尼高阻尼结构频域盲模态识别

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摘要

Output-only modal identification methods are practical for large-scale engineering. Recently, independent component analysis (ICA) which is one of the most popular techniques of blind source separation (BSS) has been used for output-only modal identification to directly separate the modal responses and mode shapes from vibration responses. However, this method is only accurate for undamped or lightly damped structures. To improve the performance of ICA for high damping structures, this article presents an extended ICA-based method called ICA-F, which establishes a BSS model in frequency domain. First, the basic idea of BSS and ICA applied in modal identification is introduced in detail. The free vibration responses and the correlation functions of ambient responses can be cast into the frequency-domain BSS framework just by mapping the time history responses to frequency domain through fast Fourier transform (FFT). Then, an ICA-based method in frequency domain called ICA-F is proposed to accurately extract mode shapes and modal responses for both light and high damping structures. A simulated 3 degree of freedom mass-spring system and a 4-story simulated benchmark model developed by the IASC-ASCE Task Group in Health Monitoring are employed to verify the effectiveness of the proposed method. The results show that the proposed method can perform accurate modal identification for both light and high damping structures. Finally, the IASC-ASCE experimental benchmark structure is also utilized to illustrate the proposed method applied to practical structure.
机译:仅输出模式识别方法对于大规模工程是实用的。最近,独立成分分析(ICA)是盲源分离(BSS)最受欢迎的技术之一,已被用于仅输出模态识别,以直接将模态响应和模态形状与振动响应分开。但是,此方法仅适用于无阻尼或微阻尼的结构。为了提高ICA在高阻尼结构中的性能,本文提出了一种扩展的基于ICA的方法ICA-F,该方法在频域中建立了BSS模型。首先,详细介绍了BSS和ICA在模态识别中的基本思想。只需通过快速傅里叶变换(FFT)将时程响应映射到频域,就可以将自由振动响应和环境响应的相关函数转换为频域BSS框架。然后,提出了一种基于频域的基于ICA的方法,称为ICA-F,可以精确地提取轻阻尼结构和高阻尼结构的模态和模态响应。由IASC-ASCE健康监测任务组开发的模拟3自由度质量弹簧系统和4层模拟基准模型用于验证该方法的有效性。结果表明,该方法可以对轻,高阻尼结构进行准确的模态识别。最后,IASC-ASCE实验基准结构也被用来说明该方法在实际结构中的应用。

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