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为研究大跨悬索桥的风致振动及在大风下的模态 ,利用已建立的虎门大桥实时监测系统获得了风致振动数据。在比较几种传统的时域和频域模态识别方法的基础上 ,提出基于高阶谱的 ARMAV模型对振动数据进行分析。这种方法基于高阶谱分析 ,有别于传统的功率谱分析 ,其模态分析结果同已建立的有限元 3- D模型数值计算结果是吻合的 ,验证了该方法的可行性
In order to study the wind-induced vibration of long-span suspension bridges and the modal under high winds, wind-induced vibration data are obtained by using the established Humen Bridge real-time monitoring system. Based on the comparison of several traditional methods of modal identification in time domain and frequency domain, the ARMAV model based on higher order spectrum is proposed to analyze the vibration data. This method is based on higher-order spectral analysis, which is different from the traditional power spectrum analysis. The modal analysis results are in good agreement with the established numerical results of the 3-D finite element model, which verifies the feasibility of this method