Skip to Main content Skip to Navigation
Reports

Aerodynamic Shape Optimization with Uncertain Operating Conditions using Metamodels

Régis Duvigneau 1
1 OPALE - Optimization and control, numerical algorithms and integration of complex multidiscipline systems governed by PDE
CRISAM - Inria Sophia Antipolis - Méditerranée , JAD - Laboratoire Jean Alexandre Dieudonné : UMR6621
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.
Complete list of metadata

Cited literature [1 references]  Display  Hide  Download

https://hal.inria.fr/inria-00136494
Contributor : Rapport de Recherche Inria <>
Submitted on : Thursday, March 15, 2007 - 9:56:07 AM
Last modification on : Monday, October 12, 2020 - 2:28:02 PM
Long-term archiving on: : Tuesday, September 21, 2010 - 1:06:14 PM

Files

RR-6143.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00136494, version 2

Citation

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

Share

Metrics

Record views

434

Files downloads

515