Published April 2021 | Version v1
Journal article

Viscous and hyperviscous filtering for direct and large-eddy simulation

  • 1. Curiosity Group, Pprime Institute, CNRS - University of Poitiers - ENSMA (France)
  • 2. Department of Mechanical Engineering, Faculty of Engineering, Kasetsart University Sriracha (Thailand)

Description

Highlights: • A new solution filtering technique for direct and large-eddy simulation is proposed. • The novelty is that both the molecular and artificial dissipations are represented. • Only coefficients have to be coded in a conventional finite-difference routine. • This is an efficient alternative to implicit time integration of the viscous term. • Connections are established with spectral vanishing viscosity for implicit LES. This work is dedicated to the solution filtering technique for performing direct and large-eddy simulation. It is shown that this approach is equivalent to the use of spectral viscosity as a possible ersatz of subgrid-scale modelling. In the framework of finite-difference schemes, the filter operator can be designed to ensure time consistency while easily controlling the level and scale selectivity of the dissipation thus introduced. Then, a new family of filter schemes is developed in order to represent both the molecular and artificial dissipations. The resulting viscous filter operator is straightforward to implement through a simple modification of its coefficients that depend on the molecular/artificial viscosity and the time step. A definitive advantage in terms of computational efficiency is obtained for computational configurations where the time step is restricted by the Fourier condition, as a simple alternative to implicit time integration of the viscous term. Numerical tests clearly show that this viscous filtering method is flexible, accurate and numerically stable at large Fourier number.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2021.110115

Additional details

Identifiers

DOI
10.1016/j.jcp.2021.110115;
PII
S0021999121000073;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
431
Journal Page Range
vp.
ISSN
0021-9991
CODEN
JCTPAH

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54001801
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
DESIGN; LARGE-EDDY SIMULATION; VISCOSITY; VORTEX FLOW
Descriptors DEC
COMPUTERIZED SIMULATION; FLUID FLOW; SIMULATION

Optional Information

Copyright
Copyright (c) 2021 Elsevier Inc. All rights reserved.