【摘要】 对正常运营的公路桥梁结构的变形监测是评估桥梁健康状况的一项重要内容.希尔伯特-黄变换(HHT)作为处理非稳定和非线性信号的方法,可以提取正常运营公路桥梁的自振频率、阻尼比,核心算法经验模态分解(EMD)可以对动态变形数据进行去噪处理.该方法应用于桥梁健康监测既有不影响交通:数据采集方便等优势,同时可以去除噪声对监测数据的影响,并能全方位对桥梁健康状况进行分析.根据监测实例分析表明该方法适用于公路桥梁健康状况监测,为今后桥梁健康监测提供一种新的研究方法.更多还原

【Abstract】 The monitoring of the deformation of highway bridges in normal operation is an important part of evaluating the health status of bridges. The Hilbert-Huang Transform( HHT) is used as a method to deal with non-stationary and nonlinear signals. This method can extract the natural vibration frequency and damping ratio of the bridges in normal operation,and the core algorithm EMD( Empirical Mode Decomposition) can be used for dynamic deformation. Data are denoised. The application of this method to bridge health monitoring does not affect traffic,data collection is convenient,and the effect of noise on monitoring data can be removed,and the health status of the bridge can be analyzed in all directions.According to the analysis of monitoring examples,this method is suitable for the monitoring of health status of highway bridges and provides a new research method for future bridge health monitoring.更多还原