首页    期刊浏览 2024年11月30日 星期六
登录注册

文章基本信息

  • 标题:Vehicle load updating of roadway bridges based on Bayesian method and Monte Carlo simulation
  • 本地全文:下载
  • 作者:Zhan Li ; Wei Jiang ; Jiaqi He
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:304
  • 期号:3
  • 页码:1-7
  • DOI:10.1088/1755-1315/304/3/032096
  • 出版社:IOP Publishing
  • 摘要:For the life-cycle design of bridges, it is of significance to establish and update the probabilistic model. However, for the current situation of practical engineering, popularizing data acquisition equipments to collect long-term data could not meet the facts. The Monte Carlo simulation is utilized to simulate the prior samples and expand the sample size. The Bayesian method is adopted to update the sectional distribution. A mathematical example based on self programming is given to illustrate the method. The results show that: the cooperation of the Bayesian method and Monte Carlo simulation could update the short-term vehicle load model. The method is of good reliability and serviceability which could be references for further studies.
国家哲学社会科学文献中心版权所有