Multiple-peak Vehicle Load Model for Bridge Reliability Assessment
Reliability assessment and rational design of bridge structures require the uncertainty associated with vehicle loads to be modeled as accurately as possible. Statistics based on acquired traffic load data on the Jinghu Highway in China show that the actual vehicle loads follow a multiple-peaked distribution that is hard to be described by the traditional single-peaked probability distributions. In this paper, the multiple-peaked distribution of vehicle loads is modeled by the weighted sum of one extreme distribution and two normal distributions. A filtered compound Poisson process and a filtered compound Weibull process are used to describe the vehicle load process in normal traffic state and dense traffic state, respectively. Finally, the O.95 fractals of the maximum distributions for three types of vehicle loads are proposed as the evaluation loads for the reliability assessment on highway bridges in their residual lives.
Multiple-peaked distribution Vehicle load Filtered compound poisson process Filtered compound Weibull process Reliability assessment
Tong Guo Aiqun Li Jianhui Li
College of Civil Engineering, Southeast University, Nanjing 210096, China
国际会议
南京
英文
311-316
2007-10-16（万方平台首次上网日期，不代表论文的发表时间）