Extreme estimation for vehicle load effect based on generalized Pareto distribution

被引：0
|
作者：
Feng, Hai-Yue [1 ]
Yi, Ting-Hua [1 ,2 ]
Chen, Bin [3 ]
机构：
[1] School of Civil Engineering, Dalian University of Technology, Dalian
[2] State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai
[3] College of Civil Engineering and Architecture, Zhejiang University of Technology, Hangzhou
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2015年 / 34卷 / 15期
关键词：
Generalized Pareto distribution; Method of independent storms; Threshold; Vehicle load effect; Weighinmotion (WIM);
D O I：
10.13465/j.cnki.jvs.2015.15.002
中图分类号：
学科分类号：
摘要：
In order to solve data correlation problems for vehicle load effect and make full use of data samples, the modified method of independent storms (MMIS) was proposed. Firstly, a triple-class threshold method was proposed to obtain the threshold with the primary data analysis. Then, considering that the vehicle load effect of simply supported beam bridges was mainly affected by a single heavy vehicle, the MMIS was adopted to extract the independent and identically distributed (IID) sample data. Finally, the extreme vehicle load effect was estimated with the generalized Pareto distribution. In the end, the estimation of the extreme vehicle load effect was performed for the measured data of a bridge recorded with the weighinmotion (WIM). The results were compared with those of the peak-over-threshold method and those of the method of independent storms. The results showed that within the shorter estimation period (T<20 years), all the three methods can be used to better predict the extreme load effect; while within the middle or longer estimation period, the estimation of the modified method of independent storms is higher and safer. ©, 2015, Chinese Vibration Engineering Society. All right reserved.
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页码：7 / 11and22
页数：1115
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