• DocumentCode
    1778031
  • Title

    Elastic constant identification of laminated composite beam with metaheuristic algorithms

  • Author

    Ettefagh, M.M. ; Biglari, H. ; Azvar, M. ; Emdadi, H.

  • Author_Institution
    Mech. Eng. Dept., Univ. of Tabriz, Tabriz, Iran
  • fYear
    2014
  • fDate
    23-25 June 2014
  • Firstpage
    60
  • Lastpage
    67
  • Abstract
    In this paper, ABC (Artificial Bee Colony), PSO (Particle Swarm Optimization), TS (Tabu Search) and SA (Simulated Annealing) algorithms are applied to estimate the elastic constant of the laminated composite beam by means of measuring vibration frequency of the beam using experimental modal analysis. For this purpose, a proper object function is defined based on the square of deviation between measured and numerically calculated frequency. Then by minimizing this function which is in term of the elastic constant employing preceding algorithms, this constant can be estimated. Also, comprehensive comparative results of mentioned algorithms are reported.
  • Keywords
    beams (structures); composite materials; elasticity; laminates; particle swarm optimisation; search problems; simulated annealing; vibrations; ABC; PSO; SA; TS; artificial bee colony; elastic constant identification; experimental modal analysis; laminated composite beam; metaheuristic algorithms; particle swarm optimization; simulated annealing; tabu search; vibration frequency; Algorithm design and analysis; Equations; Frequency measurement; Laser beams; Modal analysis; Optimization; ABC; Laminated Composite Beam; Modal Analysis; PSO; SA; TS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on
  • Conference_Location
    Alberobello
  • Print_ISBN
    978-1-4799-3019-7
  • Type

    conf

  • DOI
    10.1109/INISTA.2014.6873598
  • Filename
    6873598