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 w...

中文翻译：

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基于小波灰色关联分析的结构无模型损伤定位

现实生活中的民用建筑的损坏检测通常是在信息不佳的情况下进行的，主要是指我们对结构的了解不足，不确定性和传感器有限。此外，大多数损坏检测方法都需要结构的数值或数学模型，其刚度参数是通过诸如模型更新之类的反解来寻找的。但是，在更新复杂结构时通常会发现病态问题。因此，提出了一种将小波包变换与灰色关联分析相结合的无模型损伤定位策略。使用小波包变换将第一加速度响应信号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包能量，然后通过所有加速度计的总能量对其进行归一化。此后，构造并合并了小波包能量曲率。