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Estimation of Extreme Value Vehicle Load Based on the Extended Burr XII Distribution

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成果类型:
期刊论文
作者:
Liu, Yang;Li, Deru*;Li, Yingqiu;Zhang, Zhenhao
通讯作者:
Li, Deru
作者机构:
[Li, Deru; Zhang, Zhenhao; Liu, Yang] Changsha Univ Sci & Technol, Sch Civil Engn & Architecture, Changsha 410114, Hunan, Peoples R China.
[Li, Yingqiu] Changsha Univ Sci & Technol, Sch Math & Stat, Changsha 410114, Hunan, Peoples R China.
通讯机构:
[Li, Deru] C
Changsha Univ Sci & Technol, Sch Civil Engn & Architecture, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
long span bridge;vehicle load;extreme value distribution;the Extended Burr XII distribution;Bayesian estimation;Markov chain Monte Carlo simulation
期刊:
KSCE Journal of Civil Engineering
ISSN:
1226-7988
年:
2018
卷:
22
期:
9
页码:
3401-3408
基金类别:
This study was sponsored by the National Basic Research Development Program of China (973 Program) (2015CB057704, 2015CB057706), the National Science Foundation of China (51378081, 51108044, 11571052), the Hunan Provincial Innovation Foundation for Postgraduates (CX2016B387), and the Open Fund of Industry Key Laboratory of Traffic Infrastructure Security Risk Management (CSUST: 16BCX07).
机构署名:
本校为第一且通讯机构
院系归属:
数学与统计学院
摘要:
Traffic monitoring, and particularly maximum vehicle load, is a very important for predicting the remaining service time of either long span or short-to-medium span bridges. Using weigh in motion (WIM) data from the Nanxi Yangtze river bridge, a novel maximum load estimation model of vehicle load was constructed. The novel model is based on the extended Burr XII (EBurr) distribution, which includes the Weibull, generalized Pareto (GPD) and log-logistic distributions. Thus, the traditional GPD model is a special form of the proposed novel model....

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