scholarly journals Efficiency of high-performance discontinuous Galerkin spectral element methods for under-resolved turbulent incompressible flows

2018 ◽  
Vol 88 (1) ◽  
pp. 32-54 ◽  
Author(s):  
Niklas Fehn ◽  
Wolfgang A. Wall ◽  
Martin Kronbichler
Keyword(s):  
Discontinuous Galerkin ◽  
High Performance ◽  
Incompressible Flows ◽  
Spectral Element ◽  
Spectral Element Methods

An Efficient High Performance Parallelization of a Discontinuous Galerkin Spectral Element Method

2013 ◽  
pp. 37-47 ◽  
Author(s):  
Christoph Altmann ◽  
Andrea D. Beck ◽  
Florian Hindenlang ◽  
Marc Staudenmaier ◽  
Gregor J. Gassner ◽  
...  
Keyword(s):  
Discontinuous Galerkin ◽  
High Performance ◽  
Spectral Element Method ◽  
Spectral Element ◽  
Element Method

scholarly journals Multi-element SIAC Filter for Shock Capturing Applied to High-Order Discontinuous Galerkin Spectral Element Methods

2019 ◽  
Vol 81 (2) ◽  
pp. 820-844
Author(s):  
Marvin Bohm ◽  
Sven Schermeng ◽  
Andrew R. Winters ◽  
Gregor J. Gassner ◽  
Gustaaf B. Jacobs
Keyword(s):  
Discontinuous Galerkin ◽  
Spectral Element ◽  
High Order ◽  
Shock Capturing ◽  
Spectral Element Methods

scholarly journals DNS of Low-Pressure Turbine Cascade Flows With Elevated Inflow Turbulence Using a Discontinuous-Galerkin Spectral-Element Method

2016 ◽  
Author(s):  
Anirban Garai ◽  
Laslo T. Diosady ◽  
Scott M. Murman ◽  
Nateri K. Madavan
Keyword(s):  
Numerical Simulations ◽  
Computer Architecture ◽  
Discontinuous Galerkin ◽  
High Performance ◽  
Separation Bubble ◽  
Spectral Element ◽  
Low Pressure ◽  
Efficient Manner ◽  
Low Pressure Turbine ◽  
Inflow Turbulence

Recent progress towards developing a new computational capability for accurate and efficient high–fidelity direct numerical simulation (DNS) and large–eddy simulation (LES) of turbomachinery is described. This capability is based on an entropy– stable Discontinuous–Galerkin spectral–element approach that extends to arbitrarily high orders of spatial and temporal accuracy, and is implemented in a computationally efficient manner on a modern high performance computer architecture. An inflow turbulence generation procedure based on a linear forcing approach has been incorporated in this framework and DNS conducted to study the effect of inflow turbulence on the suction–side separation bubble in low–pressure turbine (LPT) cascades. The T106 series of airfoil cascades in both lightly (T106A) and highly loaded (T106C) configurations at exit isentropic Reynolds numbers of 60,000 and 80,000, respectively, are considered. The numerical simulations are performed using 8th–order accurate spatial and 4th–order accurate temporal discretizations. The changes in separation bubble topology due to elevated inflow turbulence are captured by the present method and the physical mechanisms leading to the changes are explained. The present results are in good agreement with prior numerical simulations but some expected discrepancies with the experimental data for the T106C case are noted and discussed.

scholarly journals Computation of Engine Noise Propagation and Scattering off An Aircraft

2002 ◽  
Vol 1 (4) ◽  
pp. 403-420 ◽  
Author(s):  
D. Stanescu ◽  
J. Xu ◽  
M.Y. Hussaini ◽  
F. Farassat
Keyword(s):  
Experimental Data ◽  
Time Domain ◽  
High Performance ◽  
Large Scale ◽  
Numerical Algorithms ◽  
Spectral Element ◽  
Spectral Element Methods ◽  
Data Set ◽  
Noise Field ◽  
High Performance Computers

The purpose of this paper is to demonstrate the feasibility of computing the fan inlet noise field around a real twin-engine aircraft, which includes the radiation of the main spinning modes from the engine as well as the reflection and scattering by the fuselage and the wing. This first-cut large-scale computation is based on time domain and frequency domain approaches that employ spectral element methods for spatial discretization. The numerical algorithms are designed to exploit high-performance computers such as the IBM SP4. Although the simulations could not match the exact conditions of the only available experimental data set, they are able to predict the trends of the measured noise field fairly well.

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