A locally p-adaptive approach for Large Eddy Simulation of compressible flows in a DG framework
Matteo Tugnoli, Antonella Abb\`a, Luca Bonaventura, Marco Restelli

TL;DR
This paper introduces a local p-adaptive method within a high-order DG framework to reduce computational costs in Large Eddy Simulations of compressible flows, demonstrating significant efficiency gains.
Contribution
A novel degree adaptation technique tailored for LES in a DG framework, improving computational efficiency over existing criteria.
Findings
Significant reduction in computational cost for LES simulations
Effective local polynomial degree adaptivity for compressible flows
Comparison shows improved efficiency over traditional methods
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
