Add to ORKGAbstract. We show that using adaptive finite element methods it is possible to accurately simulate turbulent flow with the computational power of a PC. We argue that this possibility should set a new agenda in CFD. The key to this break-through is (i) application of the general approach to adaptitive error control in Galerkin methods based on duality, coupled with (ii) crucial properties of turbulent flow allowing accurate computation of mean value quantities such as drag and lift without full resolution of all scales. Key words. adaptive finite element method, duality, a posteriori error estimate, turbulent viscous incompressible flow, large eddy simulation, surface mounted cube AMS subject classifications. 65M60,76F65 1. Introduction and ...
Since the inception of Computational Fluid Dynamics, turbulence model-ing and numerical methods evol...
In this work we present the main features of a p-adaptive Discontinuous Galerkin (DG) method, suited...
The main goal of this work is to improve the accuracy and computational efficiency of Large Eddy Sim...
We discuss aspects of adaptive DNS/LES, where adaptive finite element methods are used to accurately...
We present an approach to Computational Fluid Dynamics CFD based on adaptive stabilized Galerkin fin...
We consider the computation of the mean drag coe#cient in a turbulent flow around a surface mounted...
We present a new approach to Computational Fluid Dynamics CFD using adaptive sta-bilized Galerkin fi...
Abstract. We compute the time average of the drag in two benchmark blu body problems: a surface mou...
Abstract. We consider the problem of computational simulation of tur-bulence, where we study turbule...
The error magnitude and the order of accuracy of a new unsteady Variational MultiScale (VMS) solver ...
Although turbulent flows are common in the world around us, a solution to the fundamental equations ...
In the last years considerable progress has been made in the development of Large Eddy Simulation (L...
Understanding the flow of fluid, either liquid or gas, through and around solid bodies has challenge...
Our simulation methodology is referred to as Direct FEM Simulation (DFS), or General Galerkin (G2) a...
Adaptive methods with both mesh and polynomial order refinements have been used extensively in compu...
Since the inception of Computational Fluid Dynamics, turbulence model-ing and numerical methods evol...
In this work we present the main features of a p-adaptive Discontinuous Galerkin (DG) method, suited...
The main goal of this work is to improve the accuracy and computational efficiency of Large Eddy Sim...
We discuss aspects of adaptive DNS/LES, where adaptive finite element methods are used to accurately...
We present an approach to Computational Fluid Dynamics CFD based on adaptive stabilized Galerkin fin...
We consider the computation of the mean drag coe#cient in a turbulent flow around a surface mounted...
We present a new approach to Computational Fluid Dynamics CFD using adaptive sta-bilized Galerkin fi...
Abstract. We compute the time average of the drag in two benchmark blu body problems: a surface mou...
Abstract. We consider the problem of computational simulation of tur-bulence, where we study turbule...
The error magnitude and the order of accuracy of a new unsteady Variational MultiScale (VMS) solver ...
Although turbulent flows are common in the world around us, a solution to the fundamental equations ...
In the last years considerable progress has been made in the development of Large Eddy Simulation (L...
Understanding the flow of fluid, either liquid or gas, through and around solid bodies has challenge...
Our simulation methodology is referred to as Direct FEM Simulation (DFS), or General Galerkin (G2) a...
Adaptive methods with both mesh and polynomial order refinements have been used extensively in compu...
Since the inception of Computational Fluid Dynamics, turbulence model-ing and numerical methods evol...
In this work we present the main features of a p-adaptive Discontinuous Galerkin (DG) method, suited...
The main goal of this work is to improve the accuracy and computational efficiency of Large Eddy Sim...