The numerical simulation of turbulence is one of the most challenging tasks in the field of the modern computational science. At present, the most advanced approach is the large eddy simulation (LES) technique wherein a formal separation between resolved (large) and unresolved (small) scales of the motion is in effect by means of a filtering operation applied onto the governing equations. However, LES requires very sophisticated numerical discretizations in terms of both accuracy and efficiency. Often, the modelling of the unresolved subgrid scale terms adds further computational complexities. This paper illustrates the suitability in using software packages for symbolic computation (in the present case, Maple© for helping in the production...
Filtering in Large Eddy Simulation (LES) is often only a formalism since practically discretization ...
During the past decades, Large-Eddy Simulation (LES) has been demonstrated to be a useful research t...
The present work is devoted to the development and implementation of a computational framework to pe...
The numerical simulation of turbulence is one of the most challenging tasks in the field of the mode...
A parallel, finite-volume algorithm has been developed for large-eddy simulation (LES) of compressib...
Turbulent flows present structures with a wide range of scales. The computation of the complete phys...
A computational approach for performing large-eddy simulation (LES) of flows with active control is ...
Large eddy simulation (LES) becomes more and more important for the simulation of practical turbulen...
A parallel, finite-volume algorithm has been developed for large-eddy simulation (LES) of compressib...
The understanding of the physics of the Coherent Structures and their interaction with the remaining...
This work developed tools to make Large Eddy Simulation (LES) more easily applicable to engineering ...
In this work, the performance of a Large Eddy Simulation (LES) code for compressible flows is invest...
Large-eddy simulation (LES) is a highly accurate turbulence modelling approach in which a wide range...
Since large eddy simulation (LES) was introduced by Smagorinsky in 1963, it has been improved with v...
[Publisher's description] Compared to the traditional modeling of computational fluid dynamics, dire...
Filtering in Large Eddy Simulation (LES) is often only a formalism since practically discretization ...
During the past decades, Large-Eddy Simulation (LES) has been demonstrated to be a useful research t...
The present work is devoted to the development and implementation of a computational framework to pe...
The numerical simulation of turbulence is one of the most challenging tasks in the field of the mode...
A parallel, finite-volume algorithm has been developed for large-eddy simulation (LES) of compressib...
Turbulent flows present structures with a wide range of scales. The computation of the complete phys...
A computational approach for performing large-eddy simulation (LES) of flows with active control is ...
Large eddy simulation (LES) becomes more and more important for the simulation of practical turbulen...
A parallel, finite-volume algorithm has been developed for large-eddy simulation (LES) of compressib...
The understanding of the physics of the Coherent Structures and their interaction with the remaining...
This work developed tools to make Large Eddy Simulation (LES) more easily applicable to engineering ...
In this work, the performance of a Large Eddy Simulation (LES) code for compressible flows is invest...
Large-eddy simulation (LES) is a highly accurate turbulence modelling approach in which a wide range...
Since large eddy simulation (LES) was introduced by Smagorinsky in 1963, it has been improved with v...
[Publisher's description] Compared to the traditional modeling of computational fluid dynamics, dire...
Filtering in Large Eddy Simulation (LES) is often only a formalism since practically discretization ...
During the past decades, Large-Eddy Simulation (LES) has been demonstrated to be a useful research t...
The present work is devoted to the development and implementation of a computational framework to pe...