Published June 2018 | Version v1
Journal article

A novel finite volume discretization method for advection–diffusion systems on stretched meshes

  • 1. Mechanical Engineering Department, University of Cape Town (South Africa)

Description

This work is concerned with spatial advection and diffusion discretization technology within the field of Computational Fluid Dynamics (CFD). In this context, a novel method is proposed, which is dubbed the Enhanced Taylor Advection–Diffusion (ETAD) scheme. The model equation employed for design of the scheme is the scalar advection–diffusion equation, the industrial application being incompressible laminar and turbulent flow. Developed to be implementable into finite volume codes, ETAD places specific emphasis on improving accuracy on stretched structured and unstructured meshes while considering both advection and diffusion aspects in a holistic manner. A vertex-centered structured and unstructured finite volume scheme is used, and only data available on either side of the volume face is employed. This includes the addition of a so-called mesh stretching metric. Additionally, non-linear blending with the existing NVSF scheme was performed in the interest of robustness and stability, particularly on equispaced meshes. The developed scheme is assessed in terms of accuracy – this is done analytically and numerically, via comparison to upwind methods which include the popular QUICK and CUI techniques. Numerical tests involved the 1D scalar advection–diffusion equation, a 2D lid driven cavity and turbulent flow case. Significant improvements in accuracy were achieved, with L2 error reductions of up to 75%.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2018.02.025

Additional details

Identifiers

DOI
10.1016/j.jcp.2018.02.025;
PII
S0021999118301074;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
362
Journal Page Range
p. 220-242
ISSN
0021-9991
CODEN
JCTPAH

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53041583
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ACCURACY; COMPUTERIZED SIMULATION; DESIGN; DIFFUSION; DIFFUSION EQUATIONS; FLUID MECHANICS; NONLINEAR PROBLEMS; SCALARS; TURBULENT FLOW
Descriptors DEC
DIFFERENTIAL EQUATIONS; EQUATIONS; FLUID FLOW; MECHANICS; PARTIAL DIFFERENTIAL EQUATIONS; SIMULATION

Optional Information

Copyright
Copyright (c) 2018 Elsevier Inc. All rights reserved.