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  • 标题:Basic Numerical Study about the Stochastic Advantage on Ultimate Bending Capacity of Hybrid Composite Girder
  • 本地全文:下载
  • 作者:Kyosuke Yamamoto ; Ryunosuke Chino
  • 期刊名称:Lecture Notes in Engineering and Computer Science
  • 印刷版ISSN:2078-0958
  • 电子版ISSN:2078-0966
  • 出版年度:2019
  • 卷号:2240
  • 页码:402-405
  • 出版社:Newswood and International Association of Engineers
  • 摘要:Comparing probability density functions of ultimate bending capacity of a “hybrid composite girder” with those of “composite girder”, it can be found that the hybrid composite girder shows higher reliability. In this paper, the numerical experiments based on Monte Calro simulation is carried out and the effect of the prior information is examined. The prior information easily given from testing is the average and variance of the strength, elasticity and other parameters of materials and of the dimensions of members. The result says that these information gives same capacity even under different assumptions for the probability density functions, while the reliability considerably changes. However, it is also found that the reliability of the hybrid composite girder is always much higher than the normal composite girder.
  • 关键词:Limit State Design Method; Hybrid Composite; Girder; Monte Carlo Simulation; reliability
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