• DocumentCode
    3372749
  • Title

    Application of multi-variable optimizing Grey model MGM(1,n,q,r) to the load-strain relation

  • Author

    Luo, Youxin ; Li, Jianying

  • Author_Institution
    Coll. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    4023
  • Lastpage
    4027
  • Abstract
    Structural parameters and material behaviors of an in-service structure are changed due to various external factors influence. Its structural strength is hard to be clearly expressed by mathematical formula. Based on the Grey system, taking the mean relative error as objective function and finding the optimum parameters q and r by optimizing, multi-variable optimization Grey model MGM (l, n, q, r) of the load-strain function in actual work condition was put forward. The failure load of the structure was forecasted. Calculation results show that this method is very effective to data processing which has high precision and easy to use. The method has wide applications in data processing in various engineering fields.
  • Keywords
    grey systems; materials properties; mechanical strength; optimisation; strain control; Grey system; MGM; data processing; failure load; in-service structure; load-strain function; load-strain relation; material behaviors; mathematical formula; mean relative error; multivariable optimizing Grey model; structural parameters; structural strength; Automation; Data engineering; Data processing; Differential equations; Educational institutions; Load forecasting; Mathematical model; Optimization methods; Predictive models; System testing; Grey system; Multi-variable optimization Grey Model; data processing; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246685
  • Filename
    5246685