摘要
基于小波包能量特征向量的损伤识别是一种对损伤非常敏感的方法。为了更有效地选择特征频带,从频带分解的角度分析了基于小波包分解能量特征向量的结构损伤识别方法。将结构响应信号进行小波包分解,提取各频带的能量。通过分析结构响应频率和小波包分解各频带频率范围,选取信号主要频率所在频带及其相邻频带的能量构成特征向量。当信号频率有微小改变时,特征能量向量的变化远远大于信号频率的变化。当结构出现损伤时,脉冲激励下其动力响应信号的频率有所降低,因此可以通过特征能量向量的变化来识别损伤。通过一根钢筋混凝土梁的试验验证了该方法的有效性。
The method for damage identification based on wavelet packet component energy is sensitive to structural damage.In order to select the characteristic frequency band more efficiently,the method in the point of frequency band decomposition of wavelet packet transform is analyzed.The structure vibration response is transformed by wavelet packet and the component energies are calculated.The frequency of the response and the range of each frequency band are analyzed. The frequency band,in which the main frequency of the signal exists,and the adjacent bands are selected as the characteristic bands.If the frequency of the signal changes,the energies of the characteristic bands change more greatly than the frequency itself.When the structure is damaged,the frequencies of the response on impulse force change and the change of WP-based component energies are used as the indices of the damage.A dynamic test on a reinforeced concrete beam confirms the feasibility of the method.
出处
《振动．测试与诊断》
EI
CSCD
北大核心
2011年第5期605-609,665,共5页
Journal of Vibration,Measurement & Diagnosis
基金
国家自然科学基金资助项目(编号:50908022)
湖南省科技计划资助项目(编号:2008SK3051)
关键词
损伤识别
小波包分解
特征能量向量
钢筋混凝土梁
damage detection wavelet packet decomposition characteristic component energy reinforced concrete beam
