Impact localization with a weighted spectral cross correlation method
Impact localization with a weighted spectral cross correlation method
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DOI：
10.1016/j.ast.2022.107591
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发表时间：
2022-04
影响因子：
5.6
通讯作者：
Jiang Wensong;Du Liangya;Luo Zai;Wang Zhongyu;Song Hao
中科院分区：
文献类型：
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作者：
Jiang Wensong;Du Liangya;Luo Zai;Wang Zhongyu;Song Hao
冲击定位是结构损伤源识别的一个典型反问题。为了克服参考点稀疏导致的低分辨率定位问题，提出了一种加权谱互相关（WSCC）方法。首先，建立了一个数学模型与一系列的光纤布拉格光栅（FBG）传感器，以产生一个数据库的瞬态频率响应的每个参考点时，随机冲击发生。其次，为了识别弹着点和参考点之间的频谱差异，在频域上通过均值和归一化操作建立互相关模型。第三，通过对WSCC网格进行细分，实现了双三次样条插值，以确定相邻参考点之间的弹着点。为了验证该方法的准确性，设计了一个由多光纤光栅传感器网络和复合材料层合板组成的冲击定位系统。实验结果表明，该方法的误差比其他传统方法的误差低近10倍。加权谱互相关法在结构健康监测领域具有优越性。
The impact localization is a typical inverse problem to identify the damage source of structures. To overcome the positioning problems of the low resolution caused by sparse reference points, a weighted spectral cross-correlation (WSCC) method is proposed. First, a mathematical model with a series of Fiber Bragg Grating (FBG) sensors is built to generate a database of transient frequency responses of each reference point when random shock happens. Second, to identify the spectrum difference between the impact point and the reference point, a cross correlation model is built by mean and normalization operations on the frequency domain. Third, to figure out the impact point among the adjacent reference points, bicubic spline interpolation is realized by subdividing the grid of the WSCC. To validate the accuracy of our suggested method, an impact localization system is designed with a multi FBG sensor network and a composite laminate. The experimental result shows that the error of our suggested method is almost ten times lower than that of other traditional methods. The weighted spectral cross-correlation has advantages in the field of structural health monitoring.