摘要
使用小波分析、功率谱密度等方法,对武汉市阳逻大桥GNSS监测数据进行分析,识别并分离大桥不同位置结构车辆移动荷载响应、车辆振动荷载响应和噪声,首先去除噪声,然后利用信号不同频率特性,分离静态信号和动态信号,从而得到更为清晰的大跨度桥动力响应特性。
The wavelet analysis and power spectral density method are used to analyze the GNSS monitoring data from Yangluo Bridge, identify and separate the vehicle moving load response, vibration load response and noise in the different bridge positions. The noise needs to be eliminated first, and then the static signal and dynamic signal need to be seperated based on the characteristics of signal frequency in order to obtain a clearer picture of a long-span bridge dynamic response.
出处
《交通科技与经济》
2013年第5期110-113,共4页
Technology & Economy in Areas of Communications