Exactly Divergence-free Hybrid Discontinuous Galerkin Method for Incompressible Turbulent Flows
Xaver Mooslechner

TL;DR
This paper introduces a divergence-free hybrid discontinuous Galerkin method for incompressible turbulent flows, offering advantages in physical accuracy and computational efficiency, and compares it with standard methods through numerical tests.
Contribution
It presents a novel H(div)-conforming hybrid discontinuous Galerkin discretization specifically designed for turbulent flow simulations, demonstrating its effectiveness and advantages over traditional methods.
Findings
The divergence-free method accurately captures turbulent flow structures.
The new discretization outperforms standard continuous Galerkin in certain cases.
Numerical validation confirms the method's efficiency and physical fidelity.
Abstract
This thesis deals with the investigation of a H(div)-conforming hybrid discontinuous Galerkin discretization for incompressible turbulent flows. The discretization method provides many physical and solving-oriented properties, which may be advantageous for resolving computationally intensive turbulent structures. A standard continuous Galerkin discretization for the Navier-Stokes equations with the well-known Taylor-Hood elements is also introduced in order to provide a comparison. The four different main principles of simulating turbulent flows are explained: the Reynolds-averaged Navier-Stokes simulation, large eddy simulation, variational multiscale method and the direct numerical simulation. The large eddy simulation and variational multiscale have shown good promise in the computation of traditionally difficult turbulent cases. This accuracy can be only surpassed by directly…
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.
Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Advanced Mathematical Modeling in Engineering · Computational Fluid Dynamics and Aerodynamics
