International audienceThis chapter describes the methodology used to construct Kriging-based surrogate models and their possible application to uncertainty quantification and robust shape optimization. More particularly, a two-dimensional RAE 2822 airfoil at transonic speed is considered for which the shape of the baseline profile is altered by localized bumps of small amplitudes. The flow around the airfoil is then subjected to important changes compared to the baseline configuration. The aim of the surrogate is to assess their influence on the aerodynamic performance of the profile as quantified by its lift-to-drag ratio. An optimization analysis is subsequently carried out in order to extract the local extrema of this performance measure...
AbstractEngineering design problems always require enormous amount of real-time experiments and comp...
Uncertainty quantification (UQ) in aerodynamic simulations is hindered by the high computational cos...
We present our framework for Robust Design Optimization (RDO) and Reliability-Based Design Optimizat...
We will present surrogate-based robust shape optimization of transonic airfoils. A large number of g...
This paper deals with developing an efficient Robust Design Optimization (RDO) framework. The goal i...
This chapter introduces the use of aerodynamic shape optimization applied to industrial problems, mo...
Efficient surrogate modeling approaches are presented in the context of robust design. The type of s...
Two kinds of robustness measures are introduced and applied to design optimization of the UMRIDA BC-...
Uncertainty quantification (UQ) in aerodynamic simulations is retarded by the high computational cos...
The assessment of uncertainties is essential in aerodynamic shape optimization problems in order to ...
The assessment of uncertainties is essential in aerodynamic shape optimization problems to come up w...
7Uncertainty-based optimisation techniques provide optimal airfoil de- signs that are less vulnerab...
Airfoil optimizations require costly high-fidelity solvers. By replacing the expensive solver with a...
Three algorithms for uncertainty propagation and robust aerodynamic optimization are presented in th...
A large number of geometrical uncertainties of a transonic RAE2822 airfoil is parameterized by a tru...
AbstractEngineering design problems always require enormous amount of real-time experiments and comp...
Uncertainty quantification (UQ) in aerodynamic simulations is hindered by the high computational cos...
We present our framework for Robust Design Optimization (RDO) and Reliability-Based Design Optimizat...
We will present surrogate-based robust shape optimization of transonic airfoils. A large number of g...
This paper deals with developing an efficient Robust Design Optimization (RDO) framework. The goal i...
This chapter introduces the use of aerodynamic shape optimization applied to industrial problems, mo...
Efficient surrogate modeling approaches are presented in the context of robust design. The type of s...
Two kinds of robustness measures are introduced and applied to design optimization of the UMRIDA BC-...
Uncertainty quantification (UQ) in aerodynamic simulations is retarded by the high computational cos...
The assessment of uncertainties is essential in aerodynamic shape optimization problems in order to ...
The assessment of uncertainties is essential in aerodynamic shape optimization problems to come up w...
7Uncertainty-based optimisation techniques provide optimal airfoil de- signs that are less vulnerab...
Airfoil optimizations require costly high-fidelity solvers. By replacing the expensive solver with a...
Three algorithms for uncertainty propagation and robust aerodynamic optimization are presented in th...
A large number of geometrical uncertainties of a transonic RAE2822 airfoil is parameterized by a tru...
AbstractEngineering design problems always require enormous amount of real-time experiments and comp...
Uncertainty quantification (UQ) in aerodynamic simulations is hindered by the high computational cos...
We present our framework for Robust Design Optimization (RDO) and Reliability-Based Design Optimizat...