多分辨率分析和小波能量曲率的框架结构损伤识别

Damage identification of the frame structure based on multi-resolution analysis and wavelet energy curvature

摘要:

为研究运用多分辨率和小波包分析方法识别结构损伤的有效性，以三层混凝土框架结构为研究对象，分别建立不同损伤工况下的三维有限元数值模型，采用ANSYS程序进行动力时程分析，研究不同识别指标和输入信号的识别灵敏度以及其他因素对损伤识别结果的影响.分析结果表明：小波包能量曲率差法能够较好达到损伤识别的目的，输入信号使用加速度响应信号比速度和位移响应信号具有更好的识别效果；有限元模型网格划分、加速度时程响应信号的提取位置以及采样频率对损伤位置的识别有较大影响；有限元网格划分越密、加速度时程响应信号提取位置离损伤位置越近、采样频率越大，损伤位置识别越精确.

Abstract:

The three-story frame models with different damage conditions were established to study the application of wavelet analysis in damage identification. The time history analysis was applied, and the response data were used to identify the damage location through wavelet analysis. The different damage identification indexes are discussed, and the results show that the wavelet packet energy curvature is better than the other to identify local damage. Then the sensitivities of input signals are discussed, and the results show that the acceleration is more sensitive to local damage than velocity and displacement. In the end, the meshing size, the acceleration sensor location and the sampling frequency are discussed, and the results show that all of them affect the damage location identification result. The accuracy of the damage localization increases when the meshing size decreases, the distance between the acceleration sensor location and the damage location decreases, and the sampling frequency increases.