以大跨度桥梁结构为对象,将小波变换技术与行驶车辆的车轮轴间距和车速状态监测相结合,提出一种针对大跨度桥梁结构车轮轴间距和车速监测的数据处理方法,并以香港青衣南大桥为对象,完成了基于实测数据的车轮轴间距和车速状态识别的验证。结果表明:采用离散小波变换(DWT)技术可实现低噪声情况下大型混凝土桥梁上车辆的车轮轴间距、车速和车辆进入/离开桥梁时间间隔的监测;车速监测精度相对高于车轮轴间距精度,且桥梁自身特性对结果精度有所影响。
A method was proposed to identify the axle spacing and speed of a moving vehicle on a large-span bridge from the dynamic strain signals with the wavelet transform technique.The proposed method was verified by the measurement data from the Tsing Yi South Bridge in Hong Kong.The results show that the axle spacing,the vehicle′s speed,and time intervals for the vehicle′s entry/exiting on a large-scale concrete bridge can be successfully identified by the DWT(discrete wavelet transform) method.The accuracy of the identified vehicle′s speed was higher than that of the axle spacing,and the accuracy of the results was affected by the characteristics of the bridge.