Adaptive mesh refinement (AMR) is potentially an effective way to automatically generate computational meshes for high-fidelity simulations such as Large Eddy Simulation (LES). Adjoint methods, which are able to localize error contributions, can be used to optimize the mesh for computing a physical quantity of interest (e.g. lift, drag) during AMR. When adjoint-based AMR techniques are applied to LES, primal flow solutions are needed to solve the adjoint problem backward in time due to the nonlinearity of Navier-Stokes equations. However, the resources required to store primal flow solutions can be huge, even prohibitive, in practical problems because of the long averaging time for computing statistical quantities. In this paper, a Reduced-...
International audienceAdaptive methods have been widely used in aeronautics to improve the predictio...
An adaptive reduced order method is considered to simulate unsteady inviscid aeroelastic scenarios f...
Large-eddy simulation (LES) consists in explicitly simulating the large scales of the fluid motion a...
In this paper a parallel adaptive mesh refinement (AMR) strategy for large eddy simulations (LES) of...
The quality of large eddy simulations can be substantially improved through optimizing the positions...
Reduced Order Models (ROMs) have found widespread application in fluid dynamics and aerodynamics. In...
Computational modeling is a pillar of modern aerospace research and is increasingly becoming more im...
The growth in computational power and algorithm development in the past few decades has granted the ...
Industrial design developments are more and more assisted by computer optimization algorithms to spe...
Nowadays, as industrial designs are close to their optimal configurations, the challenge lies in the...
Today, Reynolds Averaged Navier Stokes (RANS) simulation approach remains the most widely used metho...
This work gives an overview of Reduced Order Model (ROM) applications employed within the context of...
In this study, we demonstrate the ability to perform large-scale PDE-constrained optimizations using...
An adaptive reduced order method is considered to simulate inviscid aeroelastic scenarios for the AG...
The development of adaptive mesh refinement capabilities in the field of computational fluid dynamic...
International audienceAdaptive methods have been widely used in aeronautics to improve the predictio...
An adaptive reduced order method is considered to simulate unsteady inviscid aeroelastic scenarios f...
Large-eddy simulation (LES) consists in explicitly simulating the large scales of the fluid motion a...
In this paper a parallel adaptive mesh refinement (AMR) strategy for large eddy simulations (LES) of...
The quality of large eddy simulations can be substantially improved through optimizing the positions...
Reduced Order Models (ROMs) have found widespread application in fluid dynamics and aerodynamics. In...
Computational modeling is a pillar of modern aerospace research and is increasingly becoming more im...
The growth in computational power and algorithm development in the past few decades has granted the ...
Industrial design developments are more and more assisted by computer optimization algorithms to spe...
Nowadays, as industrial designs are close to their optimal configurations, the challenge lies in the...
Today, Reynolds Averaged Navier Stokes (RANS) simulation approach remains the most widely used metho...
This work gives an overview of Reduced Order Model (ROM) applications employed within the context of...
In this study, we demonstrate the ability to perform large-scale PDE-constrained optimizations using...
An adaptive reduced order method is considered to simulate inviscid aeroelastic scenarios for the AG...
The development of adaptive mesh refinement capabilities in the field of computational fluid dynamic...
International audienceAdaptive methods have been widely used in aeronautics to improve the predictio...
An adaptive reduced order method is considered to simulate unsteady inviscid aeroelastic scenarios f...
Large-eddy simulation (LES) consists in explicitly simulating the large scales of the fluid motion a...