A5026931783- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Vibration Analysis
- Model Reduction and Neural Networks
- Probabilistic and Robust Engineering Design
- Heat Transfer and Optimization
- Fluid Dynamics and Turbulent Flows
- Wind and Air Flow Studies
- Differential Equations and Numerical Methods
- Aerodynamics and Fluid Dynamics Research
- Guidance and Control Systems
- Iterative Learning Control Systems
- Lattice Boltzmann Simulation Studies
- Fluid Dynamics and Heat Transfer
- Computational Physics and Python Applications
- Metallurgy and Material Forming
- Nanofluid Flow and Heat Transfer
- Combustion and flame dynamics
- Gas Dynamics and Kinetic Theory
- Advanced Multi-Objective Optimization Algorithms
- Advanced Numerical Methods in Computational Mathematics
- Nuclear Engineering Thermal-Hydraulics
- Advanced Mathematical Modeling in Engineering
Office National d'Études et de Recherches Aérospatiales
2001-2022
Université Paris-Saclay
2019-2022
Anna Needs Neuroblastoma Answers
1990
In the present work, an optimization methodology to compute best control parameters, χ and Δ, for selective frequency damping method is presented. The does not suppose any a priori knowledge of flow physics, neither underlying numerical methods, especially suited simulations requiring large quantity grid elements processors. It allows obtaining optimal convergence rate steady state damped Navier-Stokes system. This achieved using Dynamic Mode Decomposition, which snapshot-based method,...
As the leader of ONERA internal project ARF PRECOTION (PREcision des COdes de simulaTION) and participant to EU NODESIM-CFD (NOn-DEterministic SIMulation for CFD-based design methodologies) (Hirsch, 2007), ONERA/DSNA has gained experience on verification validation with CFD codes. The first technical section this article is devoted a reminder about validation. three next sections present practical estimations various errors uncertainties (in sense upper bounds absolute values an error term)...
Here we are trying to build on both theory and practical experience, with a view provide better confidence in non-intrusive (NIPCM) stochastic studies for CFD. This includes not only the quality of individual CFD results but also their coherence as set, when multiple runs performed analyse domain parametric variation. One major unknown, which try address, is probability any significant feature remain undetected parameter space. Such an unexpected presented RAE2822 case. We present some new...
The Python--elsA user interface of the elsA cfd (Computational Fluid Dynamics) software has been developed to allow users specify simulations with confidence, through a global context description objects grouped inside scripts. main features are generated documentation, checking and completion, helpful error management. Further developments have used this foundation as coupling framework, allowing (thanks descriptive approach) external algorithms solver in simple abstract way, leading more...
Transient flight cycles need accurate and stable solutions to the fluid flow/heat transfer problem.This is classically solved by coupling solvers for thermal sub-problems, but this a new problem which are not easy obtain in all cases.Here we show how Dirichlet-Robin Neumann-Robin boundary conditions, with computed optimal parameter, have been successfully used systems.These systems were respectively Fluent (ANSYS) Z-set [4] (Onera/Northwest Numerics/Centre des Matériaux) codes.