Abstract

High-order methods are becoming increasingly attractive in both academia and industry, especially in the context of computational fluid dynamics. However, before they can be more widely adopted, issues such as lack of robustness in terms of numerical stability need to be addressed, particularly when treating industrial-type problems where challenging geometries and a wide range of physical scales, typically due to high Reynolds numbers, need to be taken into account. One source of instability is aliasing effects which arise from the nonlinearity of the underlying problem. In this work we detail two dealiasing strategies based on the concept of consistent integration. The first uses a localised approach, which is useful when the nonlinearities only arise in parts of the problem. The second is based on the more traditional approach of using a higher quadrature. The main goal of both dealiasing techniques is to improve the robustness of high order spectral element methods, thereby reducing aliasing-driven instabilities. We demonstrate how these two strategies can be effectively applied to both continuous and discontinuous discretisations, where, in the latter, both volumetric and interface approximations must be considered. We show the key features of each dealiasing technique applied to the scalar conservation law with numerical examples and we highlight the main differences in terms of implementation between continuous and discontinuous spatial discretisations.

Highlights

  • Numerical stability is a fundamental requirement for tools, such as solvers used to model fluid dynamics problems

  • Whilst in continuous Galerkin (CG) the partial differential equation (PDE) nonlinearities depend on the volumetric flux only, in discontinuous Galerkin (DG) and flux reconstruction (FR) another source of nonlinearity to take into account depends on the interface flux

  • Regarding the discontinuous approaches we analyse the role of the interface flux for PDE and geometrical nonlinearities

Read more

Summary

Introduction

Numerical stability is a fundamental requirement for tools, such as solvers used to model fluid dynamics problems. The computational efficiencies that can be attained through the use of a collocation formulation, especially given the presence of a diagonal mass matrix, often outweigh the numerical error that is incurred To illustrate this point, let us consider errors arising from the integrals of nonlinear products of polynomial expansions of order P. To address these aliasing issues we consider two different strategies both based on the concept of consistent integration. We consistently integrate every term of the numerical discretisation which typically implies the over-integration of the linear terms In this strategy we can address both PDE-aliasing driven instabilities as well as geometrical-aliasing sources arising from deformed/curved elements.

Aliasing sources in high-order spectral element methods
CG formulation
DG formulation
FR formulation
Summary
Dealiasing techniques
Local dealiasing
Global dealiasing
Numerical results
PDE aliasing
Link between geometrical- and PDE-aliasing
Flow applications
Summary and conclusions
Role of dealiasing for higher order advection velocities
Findings
Methods
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call