Dynamic Threshold Cable-Stayed Bridge Health Monitoring System Based on Temperature Effect Correction

Abstract

The early health warning of a cable-stayed bridge is of great significance for discovering the abnormal condition of the structure, eliminating the risk factors, and ensuring the normal operation of the bridge in order to set a reasonable safety monitoring threshold to ensure the safety warning and condition assessment of the bridge structure. A method of dynamic early warning by considering the temperature effect is adopted in this paper on the basis of the benchmark threshold. Based on the long-term deflection monitoring data of a bridge in Wuhan, the generalized Pareto distribution (GPD) extreme value analysis theory is used to set the benchmark threshold. Then, by constructing the seasonal autoregressive integrated moving average (SARIMA) long-span bridge temperature effect prediction model, the reference threshold is dynamically adjusted. Finally, it is compared with the traditional fixed threshold monitoring system. The results show that the dynamic threshold has stronger adaptability to the monitoring of cable-stayed bridges and can also achieve effective monitoring of local mutations in other periods. Dynamic threshold early warning can reduce the shortcomings of traditional early warning methods such as underreporting and misreporting. At the same time, the GPD extreme value analysis theory overcomes the disadvantage that the extreme value information is not fully utilized. It has an important application value for bridge health monitoring.

Some Considerations about the Incorporation of Dynamic Parameters in the Structural Health Monitoring Systems of Bridges

“…In the case of the average no correlation was observed, and in the case of maximum accelerations, it was see there was a certain correlation in both the vertical and transverse cases, although were manifested to a greater or lesser extent depending on the vibration modes. results were in coherence with the behaviour suggested by other authors in the ca various bridges [15][16][17][18][20][21][22][23].…”

“…More recently, Tan et al published their conclusions on the implementation of an SHM system on a cable-stayed bridge, in which they studied its dynamic behaviour and were able to establish thresholds after applying corrections for the effect of temperature [23].…”

Early Warning for Continuous Rigid Frame Bridges Based on Nonlinear Modeling for Temperature-Induced Deflection

“…Bridges inevitably experience performance degradation throughout their operation [ 1 , 2 ]. Therefore, the implementation of early warning systems is considered crucial for ensuring the safe operation of bridges [ 3 , 4 ]. Many bridges have been equipped with SHM systems in recent years, providing essential raw data for early warning [ 5 , 6 , 7 ].…”