• DocumentCode
    515016
  • Title

    Optimization Algorithm for Geometric Nonlinear Analysis of the Rigid Frame

  • Author

    Zhang Xu ; Li Wei

  • Author_Institution
    Sch. of Mech. & Electron. Eng., Tianjin Polytech. Univ., Tianjin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    841
  • Lastpage
    844
  • Abstract
    An optimization algorithm is presented for geometric nonlinear analysis of the rigid frame. The principal character of the optimization algorithm is that the equilibrium state with large deformation is chosen as the study object. The endpoint coordinates are given by means of coordinate recursion formulae. The objective function is defined, and the dynamic design variable is unknown endpoint coordinates of slight segments. The optimization problem is established for large deformation analysis of the rigid frame, and the optimization program is programmed. Typical examples are calculated by optimization algorithm, and the results are in very good agreement with those by existing methods, which provides a new and effective idea for geometric nonlinear analysis of the rigid frame.
  • Keywords
    deformation; optimisation; shear modulus; structural engineering; coordinate recursion formulae; geometric nonlinear analysis; large deformation analysis; optimization algorithm; rigid frame; Algorithm design and analysis; Automation; Deformable models; Design methodology; Design optimization; Finite element methods; Mechanical engineering; Mechanical variables measurement; Mechatronics; Optimization methods; Dynamic design variable; Finite element method; Geometric nonlinear analysis; Optimization algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.628
  • Filename
    5460147