• DocumentCode
    511159
  • Title

    Application of New Information Multi-variable Optimizing Grey Model NMGM(1,n,q,r) to the Load-Strain Relation

  • Author

    Xiao, WeiYue ; Liao, Degang ; Luo, Youxin

  • Author_Institution
    Coll. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    39
  • Lastpage
    42
  • 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 and the new information principle, taking the mean relative error as objective function and taking the modified nth component of each variable as initial value of response function and finding the optimum background value coefficient q and modified value r of initial value of response function by optimizing, new information multi-variable optimization Grey model NMGM(1, 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; multivariable systems; optimisation; Grey system; Load-strain Relation; data processing; in-service structure; load-strain function; new information multi-variable optimization Grey model; response function; Art; Data engineering; Data processing; Differential equations; Educational institutions; Knowledge engineering; Load forecasting; Mechanical engineering; Predictive models; System testing; Grey system; NMGM(1; data processing; n; new information principle; optimization; q; r) Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-0-7695-3916-4
  • Type

    conf

  • DOI
    10.1109/KESE.2009.19
  • Filename
    5383627