Frequency Shift Curve Based Damage Detection Method for Beam Structures
Frequency Shift Curve Based Damage Detection Method for Beam Structures
复制标题
DOI：
10.3970/cmc.2011.026.019
复制
发表时间：
2011-11
影响因子：
3.1
通讯作者：
Y. Zhang;Z. Xiang
中科院分区：
文献类型：
--
作者：
Y. Zhang;Z. Xiang
基于振动的损伤检测方法在桥梁等梁结构的维修中起着重要的作用。然而，这些方法大多要求结构振型的精确测量，而这在实际工程中往往难以满足。由于频率的测量比振型的测量更精确，基于附加质量引起的频移曲线与振型平方的等效性，提出了一种频移曲线法，并已被证明是结构损伤识别的有效方法。提出了两种基于FSC的损伤指标，分别称为局部离群检测指标和全局离群检测指标。数值模拟和实验结果表明了该方法的有效性和可靠性。与传统方法相比，该方法不需要在结构上安装大量传感器，就能得到可靠的结果。
Vibration based damage detection methods play an important role in the maintenance of beam structures such as bridges. However, most of them require the accurate measurement of structural mode shapes, which may not be easily satisfied in practice. Since the measurement of frequencies is more accurate than that of mode shapes, this paper proposes a frequency shift curve (FSC) method, based on the equivalence between the FSC due to auxiliary mass and the mode shape square, which has been demonstrated to be effective in structural damage detection. Two damage indices based on the FSC are developed, which are called the local outlier detection index and the global outlier detection index, respectively. The efficiency and reliability of the proposed method are demonstrated by numerical simulations and experimental results. Compared with traditional methods, this method can provide reliable results without the requirement of fixing many sensors on the structure.