为了建立“环境条件归一化”的结构损伤预警方法,该文对润扬大桥悬索桥236d的模态频率与温度实测数据进行了季节相关性研究。分析结果表明:润扬大桥悬索桥高阶振型的模态频率与温度具有明显的季节相关性,其模态频率日平均值随着温度日平均值的升高而降低,并且在一年中可以发生约1.5%-2.0%的变化。在此基础上采用6次多项式模型对高阶模态频率.温度进行了统计建模,并采用均值控制图法对模态频率的异常变化进行了统计模式识别。分析结果表明:运用该方法可以有效地消除温度的季节变化对悬索桥实测模态频率的影响,较好地分离出结构损伤引起的模态频率异常变化,这是防止悬索桥结构损伤预警出现误判的必要手段。
In order to establish structural damage forecasting method applied to the normalized environmental conditions, the correlation analysis of frequency and seasonal temperature of Runyang Suspension Bridge is performed using health data monitored within 236 days. The analysis results reveal that natural frequencies of higher-order vibration modes remarkably correlate with the seasonal temperature. The daily averaged natural frequencies decrease with the increase of the daily averaged temperature, with an approximate annual variation of about 1.5%-2.0%. The statistically modeling technique using 6-order polynomial is applied to formulate the correlation between the natural frequencies and temperature. The abnormal changes of measured frequencies are detected using the so-called mean-value control chart. The research results show that the proposed method is effective in the elimination of temperature-induced abnormal frequency changes and capable of detecting the damage-induced frequency variations. The proposed method is promising in the identification of structural damage induced modal frequency variations.