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对润扬大桥悬索桥236天的小波包能量谱与温度实测数据进行了季节相关性研究.分析结果表明,润扬大桥悬索桥的小波包能量谱与温度具有明显的季节相关性,其特征频带能量比的日平均值随着温度的季节变化在一年中可以发生平均约200%的变化.在此基础上采用6次多项式模型对小波包能量谱与温度进行了统计建模,并采用均值控制图法对特征频带能量比的异常变化进行了统计模式识别.分析结果表明,运用本文方法可以有效地消除温度的季节变化对悬索桥实测小波包能量谱的影响,较好地识别出结构损伤引起的特征频带能量比10%的异常变化,并且与实测模态频率相比,小波包能量谱更适合于大跨桥梁结构的在线实时损伤预警.
Seasonal correlation of wavelet packet energy spectrum and temperature data of Runyang Bridge Suspension Bridge was studied in 2006. The analysis results show that the wavelet packet energy spectrum of Suspension Bridge of Runyang Bridge has obvious seasonal correlation with temperature and its characteristic frequency band energy ratio The daily average value of the temperature can change by about 200% in a year with the change of the temperature.On this basis, the sixth order polynomial model is used to statistically calculate the energy spectrum and temperature of the wavelet packet, and the average control chart The statistical method is used to identify the abnormal change of the energy ratio of the characteristic frequency band.The analysis results show that the method can effectively eliminate the influence of the seasonal change of temperature on the energy spectrum of the measured wavelet packet of the suspension bridge and identify the characteristics caused by the structural damage Compared with the measured modal frequencies, wavelet packet energy spectrum is more suitable for the online real-time damage warning of long-span bridge structures.