A5058755589- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
- Advanced Multi-Objective Optimization Algorithms
- Advanced Numerical Methods in Computational Mathematics
- Gas Dynamics and Kinetic Theory
- Advanced Numerical Analysis Techniques
- Topology Optimization in Engineering
- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Model Reduction and Neural Networks
- Advanced Optimization Algorithms Research
- Probabilistic and Robust Engineering Design
- Simulation Techniques and Applications
- Numerical methods for differential equations
- Advanced Aircraft Design and Technologies
- Lattice Boltzmann Simulation Studies
- Metaheuristic Optimization Algorithms Research
- Distributed systems and fault tolerance
- Heat Transfer and Optimization
- Differential Equations and Numerical Methods
- Hydraulic flow and structures
- Particle Dynamics in Fluid Flows
- Fluid Dynamics and Vibration Analysis
- Aerospace Engineering and Control Systems
- Cloud Computing and Resource Management
Research Centre Inria Sophia Antipolis - Méditerranée
2009-2025
Institut national de recherche en informatique et en automatique
2009-2022
Université Côte d'Azur
2022
LabEx PERSYVAL-Lab
2009-2016
Centre Inria de l'Université Grenoble Alpes
2008
Numerical Method (China)
1987-1993
Centre de Recherche en Informatique
1989-1993
Iowa State University
1977-1978
A multi-objective strategy adapted to the aerodynamic concurrent optimization of helicopter rotor blades is developed. The present based on Nash Games from game theory, where objective functions are minimized by virtual players involved in a non-cooperative game. method presented split design vector into two sub-spaces, defined be strategies charge minimization primary and secondary respectively. This territory allows function while causing least possible degradation first one. methodology...
This paper explains some of the convergence behaviour iterative implicit and defect-correction schemes for solution discrete steady Euler equations. Such equations are also commonly solved by (pseudo) time integration, being achieved as limit (for $t \to \infty $) a time-dependent problem. Implicit then often chosen their favourable stability properties, permitting large timesteps efficiency. An important class involving first- second-order accurate upwind discretisations is considered. In...
This paper presents the current developments at ONERA on wing optimization via aero-structural adjoint method. The is extension of aero-elastic already used in aerodynamic function optimization.1 method allows improvement both and structural functions same design space. internal element thicknesses (spar webs, caps, skins), characteristics (flexibility) planform parameters are all variable adjoint-based process. A module for modelling, weight estimation adjoint-compatible sensitivities...
The essential numerical features of multilevel strategies developed for parametric shape optimization are reviewed. These methods employ nested parameterization supports either shape, or deformation, and the classical process degree elevation resulting in exact geometrical data transfer from coarse to fine representations. algorithms mimick multigrid found very effective terms convergence acceleration. In particular, a drag reduction problem involving three-dimensional Eulerian transonic...