Abstract
Structural health monitoring (SHM) has been widely used in all kinds of bridges. It is significant to accurately assess the serviceability and reliability of bridge subjected to severe conditions by SHM technique. Bridge deflection as an essential evaluation index can reflect structural condition perfectly. In this study, an approach for deflection calculation and reliability assessment of simply supported bridge is presented. Firstly, a bridge deflection calculation method is proposed based on modal flexibility and Kriging method improved by artificial bee colony algorithm. Secondly, a dynamic Bayesian network is employed to evaluate the deflection reliability combined with monitoring results which include modal frequency, mode shape, environmental temperature, and humidity. A linear regression model is established to analyze the relationship between modal parameters and environmental factors. Thirdly, a simply supported bridge is constructed and monitored to verify the effectiveness of the proposed method. The results reveal that the proposed method can precisely calculate the bridge deflection. Finally, the time-dependent reliabilities of two cases are computed and the effects of monitoring factors on bridge deflection reliability are analyzed by sensitivity parameter. It indicates that the reliability is negatively correlated with temperature and more sensitive to mode shape than other three factors.
Highlights
As one of the important civil infrastructures, bridges are usually subjected to severe conditions caused by environmental effects and repeated vehicles, which affect the serviceability and ultimate capacity of structures seriously [1,2,3]
The comparison between the static and dynamic test results under different cases was performed to validate the correctness and efficiency of the bridge deflection calculation method based on the modal theory and the improved Kriging method
The deflections are different for the same measure point every time, both the absolute difference value between any two test results and the coefficient of variant (COV) are so small that we have reasons to believe the real deflection can be obtained by the static test method
Summary
As one of the important civil infrastructures, bridges are usually subjected to severe conditions caused by environmental effects and repeated vehicles, which affect the serviceability and ultimate capacity of structures seriously [1,2,3]. With the rapid development of vision sensors, the displacement monitoring techniques including digital image correlation, up-sampled cross correlation, phase-based method and some others have been widely applied [11,15] They are still limited by the factors such as weather, monitoring distance and low lighting environment in real applications [13]. The Kriging model [20] is applied to improve the calculation precision based on monitoring results of modal parameters even if a limited number of accelerometer sensors are arranged on bridge. A supported slab bridge was built to verify the proposed method through the static experiments and a monitoring system was established to collect the corresponding data including modal parameter, environment temperature and humidity for a whole year. The sensitivity analysis was carried out to investigate the effects of influence factors on the bridge reliability
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