We investigate the possibility of reducing the computational burden of LES models by employing local polynomial degree adaptivity in the framework of a high-order DG method. A novel degree adaptation technique especially featured to be effective for LES applications is proposed and its effectiveness is compared to that of other criteria already employed in the literature. The resulting locally adaptive approach allows to achieve significant reductions in computational cost of representative LES computations.

A locally p-adaptive approach for Large Eddy Simulation of compressible flows in a DG framework

TUGNOLI, MATTEO;ABBA', ANTONELLA;BONAVENTURA, LUCA;
2017-01-01

Abstract

We investigate the possibility of reducing the computational burden of LES models by employing local polynomial degree adaptivity in the framework of a high-order DG method. A novel degree adaptation technique especially featured to be effective for LES applications is proposed and its effectiveness is compared to that of other criteria already employed in the literature. The resulting locally adaptive approach allows to achieve significant reductions in computational cost of representative LES computations.
2017
Adaptive Large Eddy Simulation; Discontinuous Galerkin methods; Large Eddy Simulation; Polynomial adaptivity; Physics and Astronomy (miscellaneous); Computer Science Applications1707 Computer Vision and Pattern Recognition
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1031673
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