Dynamic field tests and modal analysis of a cable-stayed bridge

This work applies system identification techniques to analyze the measured data from ambient vibration test for Kao Ping Hsi cable-stayed bridge in Taiwan. The multivariate AR model technique was applied to the processed data to determine the dynamic characteristics of the bridge. The identified results with traffic flow were compared with those obtained from ambient test without traffic flow. The excellent agreement both the identified results from different traffic conditions indicates that the traffic flow would not significantly change the dynamic characteristics of the cable-stayed bridge. Furthermore, it also implies that the basic assumption of white noise process input in ambient vibration responses is also suitable for the case with traffic flow.