Calibration of design vehicle load model of highway bridges based on long-term monitored traffic flow

被引:0
|
作者
Xiao X. [1 ,2 ]
Chen Y. [3 ]
Lu N. [2 ]
机构
[1] Institute of Communications Science, Changsha University of Science and Technology, Changsha
[2] Hunan Province Engineering Laboratory of Bridge Structure Safety Control, Changsha University of Science and Technology, Changsha
[3] Foreign-related College, Central south University of Forestry and Technology, Changsha
来源
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | 2018年 / 49卷 / 11期
基金
中国国家自然科学基金;
关键词
Bridge engineering; Extreme value; Random traffic flow; Vehicle load;
D O I
10.11817/j.issn.1672-7207.2018.11.028
中图分类号
学科分类号
摘要
In order to calibrate the existing design vehicle load models based on the native vehicle load, an approach was presented for extrapolating extreme vehicle load effect of bridges under stochastic traffic flow loads. A stochastic traffic load model was established based on the long-term weigh-in-motion measurements of a highway bridge in China. The extreme traffic load effects of a simply supported T-girder bridge was analyzed. Based on the numerical results, several national and abroad design vehicle load models were calibrated. The results show that the standard values of the design vehicle load effect in Eurocode3 code and the British BS5400 code are much higher than those of Chinese JTG D60-2015 code and the British BS5400 codes. Based on the current traffic condition in China, the return period of the standard vehicle load model in Eurocode3 and Bridge BS5400 codes tend to be infinite. The return period of the American code is less than 1 000 a, while that of the Chinese JTG D60-2015 code is between 1 000-4 000 a. © 2018, Central South University Press. All right reserved.
引用
收藏
页码:2861 / 2867
页数:6
相关论文
共 20 条
  • [1] Research on vehicle load effect on highway bridges, Highway, 3, pp. 8-12, (1997)
  • [2] Lu N., Liu Y., Mohammad N., Extrapolation of time-variant extreme effect on long-span bridge considering steadily growing traffic volume, Engineering Mechanics, 35, 7, pp. 159-166, (2018)
  • [3] Yang X., Gong J., Feng Y., Partial factors of vehicle loads and reliability analysis of bridges with different spans, China Journal of Highway and Transportation, 28, 6, pp. 59-66, (2015)
  • [4] Nowak A.S., Lutomirska M., Fis I., The development of live load for long span bridges, Bridge Structures, 6, 1, pp. 73-79, (2010)
  • [5] Caprani C.C., Calibration of a congestion load model for highway bridges using traffic microsimulation, Structural Engineering International, 22, 3, pp. 342-348, (2012)
  • [6] Han W., Wu J., Ma L., Et al., High-fidelity simulation of win-vehicle-bridge system based on microscopic traffic load model, China Journal of Highway and Transport, 28, 11, pp. 37-45, (2015)
  • [7] Obrien E.J., Enright B., Modeling same-direction two-lane traffic for bridge loading, Structural Safety, 33, 4, pp. 296-304, (2011)
  • [8] Li Z., Li C., Sun J., Et al., Estimating extreme vehicle load effect based on GPD model, Engineering Mechanics, 29, pp. 166-171, (2012)
  • [9] Zhang Z., Yang F., Zhao J., Et al., Analysis on traffic load effect of simply supported beam bridge based on WIM data, Journal of Highway and Transportation Research and Development, 31, 5, pp. 86-92, (2014)
  • [10] Ruan X., Zhou J., Caprani C., Safety assessment of the antisliding between the main cable and middle saddle of a three-pylon suspension bridge considering traffic load modeling, Journal of Bridge Engineering, 21, 10, (2016)