• DocumentCode
    3313098
  • Title

    Structural Fatigue Life Optimization Based on Metamodels

  • Author

    Deng, YaQuan ; Xue, CaiJun ; Xu, Yuan

  • Author_Institution
    Key Lab. of Fundamental Sci. for Nat. Defence-Adv. Design Technol. of Flight Vehicle, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    28-31 May 2010
  • Firstpage
    233
  • Lastpage
    237
  • Abstract
    In order to increase the computing efficiency of the structural fatigue life in optimization cycles, the metamodels of the structural fatigue life are researched systematically. Three kinds of metamodels, the polynomial response surface model, the Kriging model and the radial basis function model constructed by the central composition design and the Latin hypercube design were compared. It is found that the radial basis function model constructed by the Latin hypercube has the highest fitting precision and higher fitting efficiency. As an example, the forward strut of an aircraft´s nose gear is optimized by using the radial basis functions of the fatigue life. The research results offer a guidance for selection and construction of the metamodel of the structural fatigue life.
  • Keywords
    fatigue; radial basis function networks; response surface methodology; statistical analysis; structural engineering computing; Kriging model; Latin hypercube design; aircraft nose gear; central composition design; metamodels; polynomial response surface model; radial basis function model; structural fatigue life optimization; Aircraft manufacture; Analytical models; Design optimization; Fatigue; Gears; Hypercubes; Optimization methods; Polynomials; Response surface methodology; Surface fitting; Fatigue life optimization; kriging model; metamodels; radial basis function; response surface methodology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
  • Conference_Location
    Huangshan, Anhui
  • Print_ISBN
    978-1-4244-6812-6
  • Electronic_ISBN
    978-1-4244-6813-3
  • Type

    conf

  • DOI
    10.1109/CSO.2010.42
  • Filename
    5533040