Large-Eddy Simulation of Compressible Flows with an Analytic Non-Equilibrium Wall Model

2018 ◽  
Author(s):  
David R. Gonzalez ◽  
Michael C. Adler ◽  
Datta V. Gaitonde
Keyword(s):  
Large Eddy Simulation ◽  
Compressible Flows ◽  
Wall Model ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Non Equilibrium

An improved dynamic non-equilibrium wall-model for large eddy simulation

2014 ◽  
Vol 26 (1) ◽  
pp. 015108 ◽  
Author(s):  
George Ilhwan Park ◽  
Parviz Moin
Keyword(s):  
Large Eddy Simulation ◽  
Wall Model ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Non Equilibrium

Comparison of Large Eddy Simulation Methods for Flows Over Gas Turbine Blades

2007 ◽  
Author(s):  
M. Karimi ◽  
M. Paraschivoiu
Keyword(s):  
Experimental Data ◽  
Large Eddy Simulation ◽  
Gas Turbine ◽  
Compressible Flows ◽  
Turbine Blades ◽  
Classical Problem ◽  
Numerical Dissipation ◽  
Simulation Methods ◽  
Eddy Simulation ◽  
Large Eddy

In recent years there has been a considerable effort toward applying large eddy simulation methods (LES) to real industrial problems. However, there are still several challenges to be addressed to achieve a reliable LES solution, especially in the context of compressible flows. Furthermore, complex geometries require the unstructured meshes which then interdict the use of very high order schemes. Therefore, LES models are mainly derived and tested on classical problem of simple geometry for incompressible flow and based on higher order schemes. Here, the flow over a gas turbine blade at high Reynolds and Mach numbers is investigated using a mixed finite-volume-finite-element method. Implicit LES method (ILES) as well as Smagorinsky and its dynamic version have been studied. Different variations of the Smagorinsky method have been examined too. The interaction of the numerical dissipation of the scheme with LES models has been explored. The results show the capability of the ILES to take into account the effective viscosity of the flow and the negligible difference of the different LES models in this flow condition. Fairly good agreement with experimental data is found which is superior to RANS results. It is found that there are still some challenges in industrial LES applications which have to be addressed to lead to a better agreement with experimental data.

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