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  • 标题:Structural Reliability Analysis Using Orthogonalizable Power Polynomial Basis Vector
  • 本地全文:下载
  • 作者:Yejun Li ; Yejun Li ; Bin Huang
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2017
  • 卷号:95
  • 页码:1-4
  • DOI:10.1051/matecconf/20179517001
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:A new method for structural reliability analysis using orthogonalizable power polynomial basis vector is presented. Firstly, a power polynomial basis vector is adopted to express the initial series solution of structural response, which is determined by a series of deterministic recursive equation based on perturbation technique, and then transferred to be a set of orthogonalizable power polynomial basis vector using the orthogonalization technique. By conducting Garlekin projection, an accelerating factor vector of the orthogonalizable power polynomial expansion is determined by solving small scale algebraic equations. Numerical results of a continuous bridge structure on reliability analysis shows that the proposed method can achieve the accuracy of the Direct Monte Carlo method and can save a lot of computation time at the same time, it is both accurate and efficient, and is very competitive to be used in structural reliability analysis.
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