Aerodynamic Shape Optimization with Uncertain Operating Conditions using Metamodels - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Research Report) Year : 2007

Aerodynamic Shape Optimization with Uncertain Operating Conditions using Metamodels

Abstract

In this paper, we address aerodynamic shape optimization problems including uncertain operating conditions. After a review of the possible approaches to take into account uncertainty, we propose to use meta-modeling techniques in order to develop a two-level modeling procedure for statistics estimation. Radial basis functions are employed to approximate the aerodynamic coefficients as operating conditions vary. Then, a Monte-Carlo method is employed to estimate statistics using the approximate model. The proposed approach is applied to the robust optimization of the wing shape of a business aircraft, by minimizing the mean and the variance of the drag coefficient with uncertain free-stream Mach number.
Fichier principal
Vignette du fichier
RR-6143.pdf (746.78 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00136494 , version 1 (14-03-2007)
inria-00136494 , version 2 (15-03-2007)

Identifiers

  • HAL Id : inria-00136494 , version 2

Cite

Régis Duvigneau. Aerodynamic Shape Optimization with Uncertain Operating Conditions using Metamodels. [Research Report] RR-6143, INRIA. 2007, pp.32. ⟨inria-00136494v2⟩
250 View
279 Download

Share

Gmail Facebook Twitter LinkedIn More