Abstract
The aim of this paper is to investigate the time-varying effect of stay cable of long-span cable-stayed bridges subject to vehicle load. The analysis has been carried out on the Su-Tong cable-stayed bridge in Jiangsu, China that has the second-longest span among the completed composite-deck cable-stayed bridges in the world currently. Probability models of vehicle load in each lane (fast lane, middle lane and slow lane) and cable stress under random vehicle load were developed based on the stochastic process theory. The results show the gross vehicle weight follows lognormal distribution or multi-peak distribution, and the time-interval of the vehicle follows a lognormal distribution. Then, the probability function of maximum cable stress was determined using up-crossing theory. Finally, the reliability of stay cable under random vehicle load was analysed. The reliability index ranges from 9.59 to 10.82 that satisfies the target reliability index of highway bridge structure of finished dead state.
Highlights
Due to large span ability and wind resistance stability, cable-stayed bridges have become popular in recent years, consisting of the tower, girder, cable and other components
This study used statistical analysis of cable stress of SuTong cable-stayed bridge based on the vehicle load from latest survey traffic flow data, and developed the probability models of random vehicle load and maximum cable stress in design reference period
The probability model of random vehicle load was developed using statistical parameters derived from the actual traffic flow data
Summary
Due to large span ability and wind resistance stability, cable-stayed bridges have become popular in recent years, consisting of the tower, girder, cable and other components. For short and medium span bridges, the load effects (i.e., the moment and shear) using the superposition of vehicle and lane load within a single design lane that represent the actual load effects accurately This method has limitations for long-span bridges, on which there is simultaneous presence of multiple vehicles. There are several simple random processes for the traffic flow simulation such as white noise fields (Ditlevsen 1994; OBrien et al 2015) and Poisson distribution (Sun 2015) They are challenging to address relatively complicated vehicle load in long-span bridges. This study used statistical analysis of cable stress of SuTong cable-stayed bridge based on the vehicle load from latest survey traffic flow data, and developed the probability models of random vehicle load and maximum cable stress in design reference period. Reliability analysis of the stay cable under random vehicle load was accomplished
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