摘要
对Benchmark钢框架结构试验数据和润扬大桥悬索桥监测数据进行了小波包能量谱损伤预警分析,在此基础上详细考察了不同小波函数和小波包分解层次的损伤预警效果.结果表明:Daubechies小波和Coiflets小波适用于结构损伤预警,并且实际工程中应采用较大的小波函数阶次以获取较好的时域分辨能力和损伤预警能力;小波包分解层次愈大,小波包能量谱的频域分辨能力和损伤预警能力愈强.润扬大桥悬索桥的实测分析表明,随着小波包分解层次的增加,特征频带能量比与温度保持明显的季节相关性,其年变化更为明显.因此,实际工程应用中应尽量选择较大的小波包分解层次.
The damage alarming analysis based on wavelet packet energy spectrum was performed with regard to the experimental data of Benchmark steel frame structure and online monitoring data of Runyang Suspension Bridge, and on the basis of which the damage alarming effects using various wavelet functions and wavelet packet decomposition levels were investigated in detail. Results reveal that the Daubechies wavelet functions and Coiflets wavelet functions are applicable to structural damage alarming and in real applications the higher order of wavelet function is preferred to obtain better resolution in time domain and damage alarming capacity. In addition, the higher the wavelet packet decomposition level is, the better the resolution in frequency domain and damage alarming capacity will be. The analysis results of Runyang Suspension Bridge reveal that with the increase of the wavelet packet decomposition level, the evaluation index has remarkable seasonal correlation with the environmental temperature and there is a significant annual change in the evaluation index. Thus, in real applications the higher decomposition level is preferred.
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2011年第4期824-828,共5页
Journal of Southeast University：Natural Science Edition
基金
国家自然科学基金资助项目(50808041
50978056)
教育部博士点基金新教师资助项目(200802861011)
关键词
结构损伤预警
小波包分析
小波包能量谱
小波函数
小波包分解层次
structural damage alarming
wavelet packet analysis
wavelet packet energy spectrum
wavelet function
wavelet packet decomposition level
