Assessment of vibration-based damage identification techniques using localized excitation source
Assessment of vibration-based damage identification techniques using localized excitation source
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DOI：
10.1007/s13349-013-0043-6
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发表时间：
2013-04
影响因子：
4.4
通讯作者：
S. Beskhyroun;T. Oshima;S. Mikami;Y. Miyamori
中科院分区：
文献类型：
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作者：
S. Beskhyroun;T. Oshima;S. Mikami;Y. Miyamori
日本北见工业大学的桥梁工程实验室已经引入了许多不同的损伤识别技术，利用压电致动器作为局部激励源来检测结构损伤并识别其位置。采用互谱密度、功率谱密度、相位角和传递函数估计等谱函数对结构的动力响应进行估计。每个功能的幅度，在指定的频率范围内测量，用于损伤识别方法。然后，使用基线状态和当前状态之间的谱函数幅度的变化来识别结构中可能的损伤的位置。然后，有必要确定哪种谱函数最能估计动态响应，哪种算法最能识别损伤。本文的第一部分比较了不同的谱函数的性能时，其幅度被用于一个损伤识别算法使用的实验数据，从铁路钢桥。本文的第二部分利用相同的数据比较了不同损伤识别算法的性能。
The Bridge Engineering Laboratory in Kitami Institute of Technology, Japan has introduced a number of different damage identification techniques to detect structural damage and identify its location utilizing piezoelectric actuators as a localized excitation source. Several spectral functions, such as cross spectral density, power spectral density, phase angle and transfer function estimate, were used to estimate the dynamic response of the structure. Each function’s magnitude, measured in a specified frequency range, is used in the damage identification methods. The change of the spectral function magnitude between the baseline state and the current state is then used to identify the location of possible damage in the structure. It is then necessary to determine which spectral function is best able to estimate the dynamic response and which algorithm is best able to identify the damage. The first part of this paper compares the performance of different spectral functions when their magnitude is used in one damage identification algorithm using experimental data from a railway steel bridge. The second part of this paper compares the performance of different damage identification algorithms using the same data.