Papers
Topics
Authors
Recent
Search
2000 character limit reached

Assessment of the Gradient Jump Penalisation in Large-Eddy Simulations of Turbulence

Published 19 Sep 2025 in physics.flu-dyn | (2509.16013v1)

Abstract: This research investigates the efficacy of the gradient jump penalisation (GJP) in large eddy simulations (LES) when coupled with active subgrid-scale (SGS) models. GJP is a stabilisation method tailored for the continuous Galerkin spectral element method, aiming at mitigating non-physical oscillations induced by discontinuous velocity gradients across element interfaces. We demonstrate that GJP effectively smoothens fields from LES without a salient impact on flow dynamics for the Taylor--Green vortex (TGV) at Re=1600Re=1600, periodic hill flows at bulk Reynolds numbers Reb=10595Re_b=10595 and $37000$, as well as turbulent channel flow at Reτ≈550Re_{\tau} \approx 550. In the TGV case, the application of GJP results in decreased fluctuations at only high wavenumbers compared to simulations without GJP. The periodic hill flow simulations indicate the applicability of GJP in wall-resolved LES (WRLES) involving curved geometries, though it tends to dissipate some of the finer details in the solution. Finally, in the analysis of the canonical turbulent channel flow cases, GJP leads a higher resolved turbulent kinetic energy than simulations without GJP and direct numerical simulations. GJP's mechanism is identified as providing enhanced dissipation at high wavenumbers but accompanied with insufficient dissipation at low wavenumbers, leading to a pronounced spectral cut-off. Non-physical oscillations on element interfaces are reflected as spikes in the power spectral density. By evaluating the sharpness of the strongest spike, GJP is shown to smoothen the spectra, however without completely removing the gradient jumps at low computational resolution.

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.