These lecture notes, prepared for the 1997 VKI Lecture Course on Inverse Design, discuss the use of unstructured grid CFD methods in the design of complex aeronautical geometries. The emphasis is on gradient-based optimisation approaches. The evaluation of approximate and exact linear sensitivities is described, as are different ways of formulating the adjoint equations to greatly reduce the computational cost when dealing with large numbers of design parameters. The current state-of-the-art is illustrated by two examples from turbomachinery and aircraft design
An algorithm is developed to obtain the grid sensitivity with respect to design parameters for aerod...
Aerodynamic shape optimisation with gradient-based methods is rapidly gaining popularity in the aero...
Design optimization methods using high-fidelity computational fluid dynamics simulations are becomin...
These lecture notes, prepared for the 1997 VKI Lecture Course on Inverse Design, discuss the use of ...
Aerodynamic design optimization has been an important area of research for many years. Although some...
A methodology for performing optimization on 3D unstructured grids based on the Euler equations is p...
A three-dimensional unstructured grid approach to aerodynamic shape sensitivity analysis and design ...
A continuous adjoint approach for obtaining sensitivity derivatives on unstructured grids is develop...
Introduction The focus of CFD applications has shifted to aerodynamic design. This shift has been m...
Recent improvements in an unstructured-grid method for large-scale aerodynamic design are presented....
A discrete adjoint method is developed and demonstrated for aerodynamic design optimization on unstr...
The growth of computer power and storage capacity allowed engineers to tackle engineering design as ...
Efficient optimization algorithms are required to reduce the computational costs of Multidisciplinar...
International audienceThis work aims at proposing an aerodynamic design optimization methodology ent...
Reconciling optimized designs with the original model can be a time-consuming process. This thesis p...
An algorithm is developed to obtain the grid sensitivity with respect to design parameters for aerod...
Aerodynamic shape optimisation with gradient-based methods is rapidly gaining popularity in the aero...
Design optimization methods using high-fidelity computational fluid dynamics simulations are becomin...
These lecture notes, prepared for the 1997 VKI Lecture Course on Inverse Design, discuss the use of ...
Aerodynamic design optimization has been an important area of research for many years. Although some...
A methodology for performing optimization on 3D unstructured grids based on the Euler equations is p...
A three-dimensional unstructured grid approach to aerodynamic shape sensitivity analysis and design ...
A continuous adjoint approach for obtaining sensitivity derivatives on unstructured grids is develop...
Introduction The focus of CFD applications has shifted to aerodynamic design. This shift has been m...
Recent improvements in an unstructured-grid method for large-scale aerodynamic design are presented....
A discrete adjoint method is developed and demonstrated for aerodynamic design optimization on unstr...
The growth of computer power and storage capacity allowed engineers to tackle engineering design as ...
Efficient optimization algorithms are required to reduce the computational costs of Multidisciplinar...
International audienceThis work aims at proposing an aerodynamic design optimization methodology ent...
Reconciling optimized designs with the original model can be a time-consuming process. This thesis p...
An algorithm is developed to obtain the grid sensitivity with respect to design parameters for aerod...
Aerodynamic shape optimisation with gradient-based methods is rapidly gaining popularity in the aero...
Design optimization methods using high-fidelity computational fluid dynamics simulations are becomin...