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An Adaptive Multipoint Formulation for Robust Parametric Optimization

Gallard, Francois and Mohammadi, Bijan and Montagnac, Marc and Meaux, Matthieu An Adaptive Multipoint Formulation for Robust Parametric Optimization. (2015) Journal of Optimization Theory and Applications, 167 (2). 693-715. ISSN 0022-3239

(Document in English)

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Official URL: http://dx.doi.org/10.1007/s10957-014-0595-6


The performance of a system designed for given functioning conditions often seriously degrades, when operated at other conditions. Therefore, a system operating over a continuous range of conditions should be designed over this range. The aerodynamic shape optimization of an aircraft at multiple altitudes, angles of attack and Mach numbers is a typical case in aerospace. This paper links parametric and multipoint optimizations by the sampling of the operating condition ranges. It is demonstrated that this discrete set of operating conditions, used to formulate a composite objective function, must adequately be chosen. An algorithm is proposed to select these conditions, which ensures a minimal computational cost to the robust optimization. Wing aerodynamic multipoint optimizations using a lifting line model and Reynolds-averaged Navier-Stokes equations, derived with a discrete adjoint formulation, are given as examples.

Item Type:Article
Additional Information:Thanks to Springer editor. The definitive version is available at http://www.springer.com. The original PDF of the article can be found at : https://link.springer.com/article/10.1007/s10957-014-0595-6
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Other partners > Airbus (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Institut national des sciences de l'Univers - INSU (FRANCE)
Other partners > IRT Saint Exupéry - Institut de Recherche Technologique (FRANCE)
Other partners > Université de Montpellier (FRANCE)
Laboratory name:
Xavier Pinel - Joël Brézillon - Airbus - Association Nationale de la Recherche et de la Technologie
Deposited On:03 Nov 2017 11:18

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