淡江大學機構典藏:Item 987654321/50457
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62822/95882 (66%)
造访人次 : 4028436      在线人数 : 583
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/50457


    题名: Recursive Approach for Random Response Analysis using Non-orthogonal Polynomial Expansion
    作者: Huang, Bin;Li, Qiu-sheng;Tuan, Alex Y.;Zhu, Hongping
    贡献者: 淡江大學土木工程學系
    关键词: Random structural systems;Non-orthogonal polynomial expansions;Stochastic finite element method;Galerkin method
    日期: 2009-08
    上传时间: 2010-08-09 17:56:59 (UTC+8)
    出版者: Heidelberg: Springer
    摘要: Using non-orthogonal polynomial expansions, a recursive approach is proposed for the random response analysis of structures under static loads involving random properties of materials, external loads, and structural geometries. In the present formulation, non-orthogonal polynomial expansions are utilized to express the unknown responses of random structural systems. Combining the high-order perturbation techniques and finite element method, a series of deterministic recursive equations is set up. The solutions of the recursive equations can be explicitly expressed through the adoption of special mathematical operators. Furthermore, the Galerkin method is utilized to modify the obtained coefficients for enhancing the convergence rate of computational outputs. In the post-processing of results, the first- and second-order statistical moments can be quickly obtained using the relationship matrix between the orthogonal and the non-orthogonal polynomials. Two linear static problems and a geometrical nonlinear problem are investigated as numerical examples in order to illustrate the performance of the proposed method. Computational results show that the proposed method speeds up the convergence rate and has the same accuracy as the spectral finite element method at a much lower computational cost, also, a comparison with the stochastic reduced basis method shows that the new method is effective for dealing with complex random problems.
    關聯: Computational Mechanics 44(3), pp.309-320
    DOI: 10.1007/s00466-009-0375-6
    显示于类别:[土木工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    0178-7675_44(3)p309-320.pdf530KbAdobe PDF381检视/开启
    Recursive Approach for Random Response Analysis using Non-orthogonal Polynomial Expansion.pdf530KbAdobe PDF2检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈