Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (4): 70-76.doi: 10.3969/j.issn.1000-565X.2014.04.011

• Mechanics • Previous Articles     Next Articles

Random Vehicle Load Spectrum of Highway Bridges Based on Monitoring Data Obtained by Weigh- in- Motion System

Wang Hai- yang1 Huang Pei- yan1,2 Li Zheng- wei1 Hu Xu- li1   

  1. 1.School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China;2.State Key Laboratory of Subtropical Building Science,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2013-09-23 Revised:2014-01-13 Online:2014-04-25 Published:2014-03-03
  • Contact: 黄培彦(1952-)，男，教授，博士生导师，主要从事疲劳与断裂、桥梁结构耐久性研究． E-mail:pyhuang@scut.edu.cn
  • About author:王海洋(1977-)，男，博士，高级工程师，主要从事桥梁评估与加固技术研究．E-mail:bluewrong@qq．com
  • Supported by:

    国家自然科学基金重点资助项目(11132004， 51078145)

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Abstract:

According to the vehicle loading data collected by the weigh- in- motion system installed on a certain sec-tion of a highway in Guangzhou,including the lane,the motorcycle type,the axle load,the total weight,the velo-city and the vehicle transit time,the time- varying characteristics of vehicle spacing in vehicle flow are analyzed.Then,according to the analysis results,the effect of vehicle load on the bridge is simplified,and,by introducingthe concept of transverse load distribution,the 2D problem of random vehicle load is converted into a 1D one,which helps successfully obtain the stress- time process of the mid- span bending moment of the bridge.By using thestress- time data,a simulation method to obtain the random load spectrum of a highway bridge is proposed,and arandom load spectrum for random fatigue tests (experimental spectrum) is finally compiled.As compared with theexisting simulation method,the proposed method is more effective because it helps to simulate and compile the ran-dom load spectrum that accords better with the actual working conditions of the bridge.

Key words: weigh- in- motion system, random load spectrum, stress- time process, transverse load distribution