International audienceThe 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 specic 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
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 201...
This article proposes a linear matrix inequality–based robust controller design approach to implemen...
International audienceThis paper focuses on a robust optimization of an aircraft preliminary design ...
International audienceThe aim of this paper is to model and propagate operational uncertainties in v...
International audienceLow-fidelity analytical models are often used at the conceptual aircraft desig...
International audienceLow-fidelity analytical models are often used at the conceptual aircraft desig...
International audienceLow-fidelity analytical models are often used at the conceptual aircraft desig...
ABSTRACT: Uncertainty-based multidisciplinary design optimization considers probabilistic variables ...
Spotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and imp...
One of the new challenges in aeronautics is combining and accounting for multiple disciplines while ...
International audienceIn an airplane preliminary design phase, the optimization for costs and fuel c...
There are many applications in aeronautical/aerospace engineering where some values of the design pa...
Traditional approaches to design and optimize a new system often do not consider how the operator wi...
In this paper we explore uncertainty quantification and management in an industrial context. We use ...
An uncertainty-based approach is undertaken to deal with multipoint wing aerostructural optimization...
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 201...
This article proposes a linear matrix inequality–based robust controller design approach to implemen...
International audienceThis paper focuses on a robust optimization of an aircraft preliminary design ...
International audienceThe aim of this paper is to model and propagate operational uncertainties in v...
International audienceLow-fidelity analytical models are often used at the conceptual aircraft desig...
International audienceLow-fidelity analytical models are often used at the conceptual aircraft desig...
International audienceLow-fidelity analytical models are often used at the conceptual aircraft desig...
ABSTRACT: Uncertainty-based multidisciplinary design optimization considers probabilistic variables ...
Spotlighting the field of Multidisciplinary Design Optimization (MDO), this book illustrates and imp...
One of the new challenges in aeronautics is combining and accounting for multiple disciplines while ...
International audienceIn an airplane preliminary design phase, the optimization for costs and fuel c...
There are many applications in aeronautical/aerospace engineering where some values of the design pa...
Traditional approaches to design and optimize a new system often do not consider how the operator wi...
In this paper we explore uncertainty quantification and management in an industrial context. We use ...
An uncertainty-based approach is undertaken to deal with multipoint wing aerostructural optimization...
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 201...
This article proposes a linear matrix inequality–based robust controller design approach to implemen...
International audienceThis paper focuses on a robust optimization of an aircraft preliminary design ...