基于二维连续小波变换与数据融合技术的逆有限元法-伪激励法结构损伤识别方法

在逆有限元法(iFEM)与伪激励法(PE)相结合的损伤识别方法框架下，通过引入二维连续小波变换与数据融合技术，增强了iFEM-PE方法的抗噪能力及工程适用性。通过算例分析可知，iFEM能够借助有限应变测量数据实时准确地重构结构位移，进而使PE方法摆脱了对在线位移测量的依赖。另一方面，PE法对结构损伤具有高敏感性，适用于损伤的精确定位与定量。针对iFEM-PE方法对噪声的敏感性，二维连续小波变换可以在时频域实现信号联合分析，加强损伤特征并抑制噪音。另一方面，数据融合技术通过对不同工况下损伤识别结果的综合处理，有效提升了损伤识别的适用性与稳定性。结果显示，以上方法在噪音影响下可对复合材料结构的分层损伤进行精确定位。 

Structure damage identification method of inverse finite element method-pseudo-excitation method based on 2D continuous wavelet transform and data fusion technology

The two-dimensional continuous wavelet transform (2D-CWT) and data fusion technique to enhance the noise immunity and engineering applicability of the framework of damage called iFEM-PE method which combines the inverse finite element method (iFEM) and pseudo-excitation method (PE) to identify damage were introduced. The example analyses show that iFEM can reconstruct the structural displacement accurately in real time with the finite strain measurement data, which makes the PE method get rid of the dependence of online displacement measurement. On the other hand, PE method has high sensitivity to structural damage, which is suitable for accurate location and quantification of damage. Because the iFEM-PE method is sensitive to the noise, 2D-CWT can realize joint signal analysis in time and frequency domain, strengthen damage characteristics and suppress noise. Moreover, data fusion technology effectively improves the applicability and stability of damage identification through the comprehensive processing of damage identification results under different working conditions. The results show that the above methods can accurately locate the delamination damage of composite structures under the influence of noise.