Abstract
In the through arch bridges, the suspenders are the key components connecting the arch rib and the bridge deck in the middle, and their safety is an increasing focus in the field of bridge engineering. In this study, various vehicle traffic flow parameters are investigated based on the actual vehicle data acquired from the long-term structural health monitoring system of a composite arch bridge. The representative vehicle types and the probability density functions of several parameters are determined, including the gross vehicle weight, axle weight, time headway, and speed. A finite element model of the bridge structure is constructed to determine the influence line of the cable force for various suspenders. A simulated vehicle flow, generated using the Monte Carlo method, is applied on the influence lines of the target suspender to determine the stress process, and then the stress amplitude spectrum is obtained based on the statistical analysis of the stress process using the rainflow counting method. The fatigue performance levels of various suspenders are analyzed according to the Palmgren-Miner linear cumulative damage theory, which helps to manage the safety of the suspenders.
Highlights
The development of national economies depends greatly on the effectiveness and reliability of infrastructure systems
Shock and Vibration of a structure health monitoring system (SHMS) on bridges [8,9,10] and the widespread application of weigh-in-motion (WIM) systems are very helpful for obtaining more actual traffic data and for developing traffic load models based on the WIM data [11,12,13,14,15]
In this study, based on the vehicle load acquisition system in the SHMS of a large-span composite arch bridge, the traffic flow data and a series of traffic flow parameters are obtained, including the vehicle type classification, gross vehicle weight, axle weight, time headway, speed, and transverse distribution of the traffic flow, which are subjected to a statistical analysis
Summary
The development of national economies depends greatly on the effectiveness and reliability of infrastructure systems. Of a structure health monitoring system (SHMS) on bridges [8,9,10] and the widespread application of weigh-in-motion (WIM) systems are very helpful for obtaining more actual traffic data and for developing traffic load models based on the WIM data [11,12,13,14,15]. In this study, based on the vehicle load acquisition system in the SHMS of a large-span composite arch bridge, the traffic flow data and a series of traffic flow parameters are obtained, including the vehicle type classification, gross vehicle weight, axle weight, time headway, speed, and transverse distribution of the traffic flow, which are subjected to a statistical analysis. A suitable S-N curve for the bridge suspender is selected and the fatigue condition of the suspender is analyzed using the Palmgren-Miner linear fatigue cumulative damage criterion
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