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Blind modal identification of non-classically damped structures under non-stationary excitations

机译:非平稳激励下非经典阻尼结构的盲模态识别

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In the present paper, we extend a previously developed blind modal identification method to systems with non-classical damping, which have complex-valued mode shapes. Unlike conventional output-only identification methods, blind modal identification method can provide modal property estimates when the input excitations are unknown and non-stationary (e.g., for systems equipped with added dampers or soil-structure problems). In earlier work, we have developed a technique that can be used for non-classically damped systems, but it is only applicable to stationary (i.e., ambient) excitations. Herein, we present an extension to non-classically damped systems under non-stationary (e.g., seismic) excitations. The proposed method yields mode shapes, natural frequencies and damping ratios, sequentially. A critical ingredient in this new method is a combination of generalized eigen-decomposition and rough-fuzzy c-means clustering techniques, which are employed to identify the complex-valued mode shapes. The accuracy of the proposed method is verified through a simulated but realistic example. Copyright (c) 2016 John Wiley & Sons, Ltd.
机译:在本文中,我们将先前开发的盲模态识别方法扩展到具有非经典阻尼且具有复数值模态形状的系统。与常规的仅输出识别方法不同,当输入激励未知且不稳定时(例如,对于装有附加阻尼器或土壤结构问题的系统),盲模态识别方法可以提供模态特性估计。在较早的工作中,我们已经开发了一种可用于非经典阻尼系统的技术,但它仅适用于固定(即环境)激励。在本文中,我们提出了在非平稳(例如地震)激励下非经典阻尼系统的扩展。所提出的方法顺序产生模态形状,固有频率和阻尼比。这种新方法的关键要素是广义特征分解和粗糙模糊c均值聚类技术的组合,这些技术可用于识别复数值模式形状。通过仿真但现实的例子验证了所提方法的准确性。版权所有(c)2016 John Wiley&Sons,Ltd.

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