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  • 标题:Accumulative Bayesian detection of displacement constants of a hybrid indeterminate box girder with variable scale gradient theory:
  • 本地全文:下载
  • 作者:Jian Zhang ; Chao Jia ; Chuwei Zhou
  • 期刊名称:Advances in Mechanical Engineering
  • 印刷版ISSN:1687-8140
  • 电子版ISSN:1687-8140
  • 出版年度:2019
  • 卷号:11
  • 期号:2
  • DOI:10.1177/1687814018824164
  • 语种:English
  • 出版社:Sage Publications Ltd.
  • 摘要:With general Bayesian theory, the accumulative Bayesian objective function of displacement constants of a hybrid indeterminate box girder was found. The gradient matrix of accumulative Bayesian objective function to displacement constants and the calculative covariance matrix were both derived. The finite curvilinear strip controlling equation of a pinned box girder was derived and the hybrid indeterminate problem of a continuous curvilinear box girder with diaphragm was solved based on agglomeration theory. Combined with one-dimensional (1D) Fibonacci automatic search scheme of optimal step length, the variable scale gradient theory was utilized to research the stochastic detection of displacement constants of the hybrid indeterminate curvilinear box girder. Then the detection steps of displacement constants of the hybrid indeterminate curvilinear box girder were presented in detail and the detection procedure was developed. Through some classic examples, it is achieved that the accumulative Bayesian det...
  • 关键词:Accumulative Bayesian objective function; hybrid indeterminate box girder; variable scale gradient method; displacement constants; agglomeration theory
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