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Model-free damage localization of structures using wavelet based grey relational analysis

机译:基于小波的灰色关系分析,无模型损坏结构的结构

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摘要

Damage detection of real-life civil structures is generally performed under a condition of poor information, mainly referring to our insufficient knowledge of structures, uncertainties and limited sensors. Moreover, most damage detection methods require the numerical or mathematical models of a structure, whose stiffness parameters are sought by inverse solutions such as model updating. However, ill-conditioning problems are often found when updating complex structures. Hence, a model-free damage localization strategy has been proposed incorporating wavelet packet transform with grey relation analysis. First acceleration response signals are decomposed into different frequency subbands using wavelet packet transform. The wavelet packet energies of specific frequency subbands corresponding to fundamental modal frequencies are extracted and then normalized by the total energy of all the accelerometers. After that, wavelet packet energy curvatures are constructed and incorporated with grey relation analysis to propose a wavelet grey correlation coefficient. Damage locations are determined according to magnitude changes in these coefficients. Lastly, the feasibility of the proposed method has been successfully verified against an experimental steel beam. The validation also found that direct damage localization based on mode shapes or modal curvatures could not provide effective judgment.
机译:现实生活中的损伤检测通常在信息不良的条件下进行,主要是指我们对结构,不确定性和有限的传感器的知识不足。此外,大多数损坏检测方法需要结构的数值或数学模型,其逆解决方案等逆解决方案所寻求的刚度参数。然而,在更新复杂结构时经常发现不良状态问题。因此,已经提出了一种无模型损坏定位策略,其中包含灰色关系分析的小波分组变换。使用小波分组变换,第一加速度响应信号被分解为不同的频率子带。提取对应于基本模态频率的特定频率子带的小波分组能量,然后通过所有加速度计的总能量标准化。之后,构建小波分组能量曲率和结合灰色关系分析,以提出小波灰色相关系数。根据这些系数的幅度变化确定损坏位置。最后,已经针对实验钢梁成功验证了所提出的方法的可行性。验证还发现,基于模式形状或模态曲率的直接损坏定位无法提供有效的判断。

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