基于辛几何模态分解的纯输出结构系统辨识

Zhan Pengming, Qin Xianrong, Zhang Qing, Sun Yuantao
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引用次数: 0

摘要

本文应用新发展的辛几何模态分解(SGMD),提出了一种基于响应信号分解的结构系统识别新方法。该方法可以在不需要确定过多参数的情况下,自适应地将输出信号分解为有限的单分量信号(也称为辛几何分量(SGCs))。然后应用随机衰减技术(RDT)提取SGCs的自由衰减响应。最后,利用希尔伯特变换(Hilbert transform, HT)方法识别模态参数,如模态频率和阻尼比。为验证该方法的有效性和有效性,通过数值算例和岸线集装箱起重机结构的监测进行了算例分析。利用该方法可以准确有效地获得这些研究的模态参数。
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Output-Only Structural System Identification Based on Symplectic Geometry Mode Decomposition
In this paper, a novel output-only structural system identification method is proposed based on the decomposition of the response signal by applying newly developed symplectic geometry mode decomposition (SGMD). The SGMD can decompose the output signal into a limited of single component signals which are also called symplectic geometry components (SGCs) adaptively without determining too many parameters. Then the random decrement technique (RDT) is applied to extract the free decay responses from SGCs. Finally, the modal parameters such as modal frequency and damping ratio can be identified using the Hilbert transform (HT) method. To demonstrate the validity and effectiveness of the proposed method, a numerical example and a monitored quayside container crane structure are conducted. The modal parameters of those studies can be obtained accurately and effectively by using the proposed method.
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