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Wide Interest Seminar: Joaquim R. R. A. Martins

  Mardi 8 mars 2016 à 16h00

  Conférence Cerfacs       SALLE DE CONFÉRENCE JEAN-CLAUDE ANDRÉ    

« Optimisation numérique de la conception d'une aile d'avion: Rêve ou réalité? »

by Joaquim R. R. A. Martins, University of Michigan

Abstract:

Wing shape is a crucial aircraft component that has a large impact performance. Wing design optimization has been an active area of research for several decades, but achieving practical designs has been a challenge. One of the main challenges is the wing flexibility, which requires the consideration of both aerodynamics and structures. To address this, we proposed the simultaneous optimization of the outer mold line of a wing and its structural sizing. The solution of such design optimization problems is made possible by a framework for high-fidelity aerostructural optimization that uses state-of-the-art numerical methods. This framework combines a three-dimensional CFD solver, a finite-element structural model of the wingbox, a geometry modeler, and a gradient-based optimizer. This framework computes the flying shape of a wing and is able to optimize aircraft configurations with respect to hundreds of aerodynamic shape and internal structural sizes. The theoretical developments include coupledadjoint sensitivity analysis, and an automatic differentiation adjoint approach. The algorithms resulting from these developments are all implemented to take advantage of massively parallel computers. Applications to the optimization of aircraft configurations demonstrate the effectiveness of these approaches in designing aircraft wings for minimum fuel burn. The results show optimal tradeoffs with respect to wing span and sweep, which was previously not possible with high-fidelity models.

More information: Seminars-abstract-20160308-Martins

L'AGENDA

Jeudi

12

Septembre

2024

🎓 Soutenance de Thèse : Susanne BAUR

Jeudi 12 septembre 2024Du 14h00 à 18h00

  Thèses Cerfacs       Salle JCA, Cerfacs, Toulouse, France    

Lundi

07

Octobre

2024

Apprentissage machine pour la science des données

Du lundi 7 octobre 2024 au jeudi 10 octobre 2024

  Formation    

Lundi

14

Octobre

2024

Bases théoriques pour la compréhension et l’analyse de Simulations aux Grandes Echelles compressibles

Du lundi 14 octobre 2024 au mercredi 16 octobre 2024

  Formation       Cerfacs, Toulouse, France    

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