Nowadays, aerodynamic computational modeling is carried out on a daily basis in an industrial setting. This is done with the aim of predicting the performance and flow characteristics of new components. However, limited resources in terms of time and hardware force the engineer to employ relatively coarse computational grids, thus achieving results with variable degree of inaccuracy. In this article, a novel combination of feature and adjoint‐based mesh adaptation methods is investigated and applied to typical three‐dimensional turbomachinery cases, such as compressor and fan blades. The proposed process starts by employing feature‐based mesh movement to improve the global flow solution and then adjoint refinement to tune the mesh for each ...
We demonstrate the power of adaptive mesh refinement with adjoint-based error estimates in verificat...
Mesh adaptation is a powerful tool to obtain accurate aerodynamic simulations with limited cost. In ...
This study seeks to reduce the degree of uncertainty that often arises in computational fluid dynami...
Mesh adaptation based on error estimation has become a key technique to improve th eaccuracy o fcom...
L’adaptation de maillage est un outil puissant pour l’obtention de simulations aérodynamiques précis...
International audienceAdaptive methods have been widely used in aeronautics to improve the predictio...
We present adjoint-based techniques to estimate the error of a numerical flow solution with respect ...
Paper presented at 15th Computational Fluid Dynamics Conference, Anaheim, Calif., 11-14 June 2001. O...
The development of adaptive mesh refinement capabilities in the field of computational fluid dynamic...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90641/1/AIAA-53965-537.pd
Engineering computational fluid dynamics (CFD) analysis and design applications focus on output func...
This paper explains how the solutions of appropriate adjoint equations can be used to estimate the e...
PhD thesisGradient-based aerodynamic shape optimisation using adjoint methods have received major in...
This paper presents an investigation of the influence of a nonconsistent approach in terms of mesh m...
PhDThe adjoint method in computational fluid dynamics (CFD) made shape optimisation affordable. Howe...
We demonstrate the power of adaptive mesh refinement with adjoint-based error estimates in verificat...
Mesh adaptation is a powerful tool to obtain accurate aerodynamic simulations with limited cost. In ...
This study seeks to reduce the degree of uncertainty that often arises in computational fluid dynami...
Mesh adaptation based on error estimation has become a key technique to improve th eaccuracy o fcom...
L’adaptation de maillage est un outil puissant pour l’obtention de simulations aérodynamiques précis...
International audienceAdaptive methods have been widely used in aeronautics to improve the predictio...
We present adjoint-based techniques to estimate the error of a numerical flow solution with respect ...
Paper presented at 15th Computational Fluid Dynamics Conference, Anaheim, Calif., 11-14 June 2001. O...
The development of adaptive mesh refinement capabilities in the field of computational fluid dynamic...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90641/1/AIAA-53965-537.pd
Engineering computational fluid dynamics (CFD) analysis and design applications focus on output func...
This paper explains how the solutions of appropriate adjoint equations can be used to estimate the e...
PhD thesisGradient-based aerodynamic shape optimisation using adjoint methods have received major in...
This paper presents an investigation of the influence of a nonconsistent approach in terms of mesh m...
PhDThe adjoint method in computational fluid dynamics (CFD) made shape optimisation affordable. Howe...
We demonstrate the power of adaptive mesh refinement with adjoint-based error estimates in verificat...
Mesh adaptation is a powerful tool to obtain accurate aerodynamic simulations with limited cost. In ...
This study seeks to reduce the degree of uncertainty that often arises in computational fluid dynami...