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
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