Modeling Operational Variability for Robust Multidisciplinary Design Optimization

Nicolas Peteilh (1) , Marcel Mongeau (1) , Christian Bes (2) , Mélanie Conderolle-Lestremau (3) , Thierry Druot (3)

1 ENAC - Ecole Nationale de l'Aviation Civile
2 ICA - Institut Clément Ader
3 Airbus Operation S.A.S.

The aim of this paper is to model and propagate operational uncertainties in view of its integration in a multidisciplinary optimization methodology for aircraft robust design. From databases relative to one specic type of long-range airplane, we analyze the variations of four ight parameters (altitude, speed, temperature and range), and build the associated statistical distributions. Then, using an uncertainty propagation methodology, we identify the distribution of operational costs.

Domaines: Mathématiques [math]; Optimisation et contrôle [math.OC]; Sciences de l'ingénieur [physics]; Automatique / Robotique

Nicolas Peteilh, Marcel Mongeau, Christian Bes, Mélanie Conderolle-Lestremau, Thierry Druot. Modeling Operational Variability for Robust Multidisciplinary Design Optimization. 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum, Jun 2017, Denver, United States. ⟨10.2514/6.2017-4328⟩. ⟨hal-01534843⟩