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Time and frequency domain regression-based stiffness estimation and damage identification

机译:基于时频域回归的刚度估计和损伤识别

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摘要

Modal analysis and system identification are popular methods for obtaining insight into structural properties from vibration signals. The associated algorithms, however, often require responses from a large group of representative DOFs of the structure to produce accurate and consistent results. In addition, their direct output, which is generally a set of estimated modal properties, does not explicitly reflect possible structural damage locations and extent. In this paper, two novel regression-based techniques that use local acceleration responses of a frame structure to estimate its local stiffness are proposed. One employs displacement simulation methods; the other is based on spectral estimates. Both methods are proven effective in their application to data collected from two laboratory specimens that are subjected to white noise excitation. Copyright © 2013 John Wiley & Sons, Ltd.
机译:模态分析和系统识别是从振动信号中深入了解结构特性的流行方法。但是,相关的算法通常需要来自结构的大量代表性DOF的响应才能产生准确且一致的结果。此外,它们的直接输出通常是一组估计的模态特性,没有明确反映可能的结构破坏位置和程度。在本文中,提出了两种新颖的基于回归的技术,它们使用框架结构的局部加速度响应来估计其局部刚度。一种采用位移模拟方法;另一种是基于频谱估计。两种方法均被证明可有效地应用于从两个受到白噪声激发的实验室样本中收集的数据。版权所有©2013 John Wiley&Sons,Ltd.

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