Geodesic
Towards a self-adaptive parameterization for aerodynamic shape optimization
Régis Duvigneau1 ; Badr Abou El Majd1 ; Jean-Antoine Désidéri1
1INRIA Project-Team, 2004 route des lucioles, BP 93, 06902 Sophia-Antipolis, FRANCE (www-sop.inria.fr/opale)
ESAIM. Proceedings, Tome 22 (2008), pp. 169-174
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In parametric shape optimization, results usually depend on the choice of the parameterization. In order to reduce this critical dependency, a self-adaptive parameterization methodology is developed, that adapts an initial and perhaps naïve parameterization to the problem studied, on the basis of a first approximation of the optimum shape. The proposed approach is studied in the framework of the Bézier curve representation and the Free-Form Deformation (FFD) approach. It is first applied to a geometrical arc reconstruction problem and then to a three-dimensional shape optimization problem in aerodynamics.
DOI : 10.1051/proc:072221

Régis Duvigneau  1   ; Badr Abou El Majd  1   ; Jean-Antoine Désidéri  1

1 INRIA Project-Team, 2004 route des lucioles, BP 93, 06902 Sophia-Antipolis, FRANCE (www-sop.inria.fr/opale) 
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     title = {Towards a self-adaptive parameterization for aerodynamic shape optimization},
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Régis Duvigneau; Badr Abou El Majd; Jean-Antoine Désidéri. Towards a self-adaptive parameterization for aerodynamic shape optimization. ESAIM. Proceedings, Tome 22 (2008), pp. 169-174. doi: 10.1051/proc:072221

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